The document describes the Km4City Smart City Ecosystem project. Km4City aims to use data collected from smart city systems and citizens to 1) keep cities under control via personalized dashboards, 2) improve city resilience by reducing risks, and 3) transform data into value for cities. It provides open-source tools for monitoring services, user behavior, social media, and more. These tools help cities manage operations, understand users, and make data-driven decisions. The ecosystem is currently deployed in Florence, Italy.
Snap4City a Solution for highly collaborative Smart Cities Environments Paolo Nesi
Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4City (Https://www.snap4city.org ) is a solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc.
Snap4City/Km4City has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions.
Km4City: A reusable example of a Metropolitan-Wide Data Platform, MAJORCITIES...Paolo Nesi
Open Source and inter-operable tools to: (i) keep city under control via personalized dashboards - monitoring services status of city operators; - monitoring and understanding the city users behaviour; - collecting moods, contributions and data from the city users; - monitoring social media for city services and events, event predictions; (ii) improve city resilience, reducing risks and decision support by: - assessing city resilience level; - improving city resilience, providing objective hints; - improving city users awareness with personal city assistants and participatory tools; (iii) transform data in value for the city: - enabling commercial and business applications; - aggregating multi-domain data and services for SMEs and city operators; - enabling integrated city services into third party web portal for all; - providing suggestion on demand services for SMEs and city operators; - accelerating and simplifying the implementation of business and service oriented Apps. Follow the Km4City City Smartener Process
Gli open data nella “città intelligente”Paolo Nesi
Aggregate & integrate data
Multiple protocols from urban operators, ....
open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi-Fi, social media, ...
Data Exploitation performing
predictions, reasoning, business intelligence, ..
users behavior analysis, decision support system, ..
Control Room, Real Time Monitoring tools, ….
Produce value from data enabling to
Stimulate virtuous behavior, influence City Users!
Put in action CITY Strategies
Thanks to the European Commission for founding. All slides reporting logo of RESOLUTE H2020 are representing tools and research founded by European Commission for the RESOLUTE project. RESOLUTE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n° 653460).
Thanks to the European Commission for founding. All slides reporting logo of REPLICATE H2020 are representing tools and research founded by European Commission for the REPLICATE project. REPLICATE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n° 691735).
Thanks to the MIUR for co-fouding and to the University of Florence and companies involved. All slides reporting logo of Sii-Mobility are representing tools and research founded by MIUR for the Sii-Mobility SCN MIUR project.
Thanks to the European Commission for founding. All slides reporting logo of Snap4City https://www.snap4city.org of Select4Cities H2020 are representing tools and research founded by European Commission for the Select4Cities project. Select4Cities has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n° 688196)
Km4City is an open technology exploited by those projects and line of research of DISIT Lab. Some of the innovative solutions and research issues developed into the above mentioned projects are also compliant and contributing to the Km4City approach and thus are contributing to the open Km4City model of DISIT lab.
Open Urban Platform for Smart City: Technical View Paolo Nesi
Km4City Roadmap
Data and Model
Control Room
Monitoring Traffic Flow and Parking
Monitoring City Users via Wi-Fi
Engaging Users Via Mobile App
Development Tools
Who is using it
City Resilience and DSS
Info and Documents
Open Urban Platform: Technical View 2018: Km4CityPaolo Nesi
Aggregate & integrate data
Multiple protocols from urban operators, ....
open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi-Fi, social media, ...
Data Exploitation performing
predictions, reasoning, business intelligence, ..
users behavior analysis, decision support system, ..
Control Room, Real Time Monitoring tools, ….
Produce value from data enabling to
Stimulate virtuous behavior, influence City Users!
Put in action CITY Strategies
Km4City: Smart City HowTo and Overview, 2016Paolo Nesi
Km4City storia e roadmap
Dati e Modello
Development Tools
App: Web e Mobile
Mobile reasoning and Monitoring
Monitoring via Wi-Fi
Control Room
Twitter Vigilance
Progetti Connessi
Set up an ICT based Urban Platform integrated and unified data management among services, city operators and city users:
Control Room, Real Time Monitoring
decision support, assessing and monitoring risk and resilience
Data analytics and business intelligence
predictions, reasoning, city users behavior analysis, ….
Reading the city: data, users behavior and needs, ...
IOT, Open data sensors, private data, static and real time data.
City Strategies: stimulate virtuous behavior of City Users
participation, totem, twitter, Apps, etc.
Transform Data into value
Put in action smart city innovative solutions and services, development tools
Snap4City a Solution for highly collaborative Smart Cities Environments Paolo Nesi
Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4City is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4City (Https://www.snap4city.org ) is a solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc.
Snap4City/Km4City has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions.
Km4City: A reusable example of a Metropolitan-Wide Data Platform, MAJORCITIES...Paolo Nesi
Open Source and inter-operable tools to: (i) keep city under control via personalized dashboards - monitoring services status of city operators; - monitoring and understanding the city users behaviour; - collecting moods, contributions and data from the city users; - monitoring social media for city services and events, event predictions; (ii) improve city resilience, reducing risks and decision support by: - assessing city resilience level; - improving city resilience, providing objective hints; - improving city users awareness with personal city assistants and participatory tools; (iii) transform data in value for the city: - enabling commercial and business applications; - aggregating multi-domain data and services for SMEs and city operators; - enabling integrated city services into third party web portal for all; - providing suggestion on demand services for SMEs and city operators; - accelerating and simplifying the implementation of business and service oriented Apps. Follow the Km4City City Smartener Process
Gli open data nella “città intelligente”Paolo Nesi
Aggregate & integrate data
Multiple protocols from urban operators, ....
open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi-Fi, social media, ...
Data Exploitation performing
predictions, reasoning, business intelligence, ..
users behavior analysis, decision support system, ..
Control Room, Real Time Monitoring tools, ….
Produce value from data enabling to
Stimulate virtuous behavior, influence City Users!
Put in action CITY Strategies
Thanks to the European Commission for founding. All slides reporting logo of RESOLUTE H2020 are representing tools and research founded by European Commission for the RESOLUTE project. RESOLUTE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n° 653460).
Thanks to the European Commission for founding. All slides reporting logo of REPLICATE H2020 are representing tools and research founded by European Commission for the REPLICATE project. REPLICATE has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n° 691735).
Thanks to the MIUR for co-fouding and to the University of Florence and companies involved. All slides reporting logo of Sii-Mobility are representing tools and research founded by MIUR for the Sii-Mobility SCN MIUR project.
Thanks to the European Commission for founding. All slides reporting logo of Snap4City https://www.snap4city.org of Select4Cities H2020 are representing tools and research founded by European Commission for the Select4Cities project. Select4Cities has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n° 688196)
Km4City is an open technology exploited by those projects and line of research of DISIT Lab. Some of the innovative solutions and research issues developed into the above mentioned projects are also compliant and contributing to the Km4City approach and thus are contributing to the open Km4City model of DISIT lab.
Open Urban Platform for Smart City: Technical View Paolo Nesi
Km4City Roadmap
Data and Model
Control Room
Monitoring Traffic Flow and Parking
Monitoring City Users via Wi-Fi
Engaging Users Via Mobile App
Development Tools
Who is using it
City Resilience and DSS
Info and Documents
Open Urban Platform: Technical View 2018: Km4CityPaolo Nesi
Aggregate & integrate data
Multiple protocols from urban operators, ....
open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi-Fi, social media, ...
Data Exploitation performing
predictions, reasoning, business intelligence, ..
users behavior analysis, decision support system, ..
Control Room, Real Time Monitoring tools, ….
Produce value from data enabling to
Stimulate virtuous behavior, influence City Users!
Put in action CITY Strategies
Km4City: Smart City HowTo and Overview, 2016Paolo Nesi
Km4City storia e roadmap
Dati e Modello
Development Tools
App: Web e Mobile
Mobile reasoning and Monitoring
Monitoring via Wi-Fi
Control Room
Twitter Vigilance
Progetti Connessi
Set up an ICT based Urban Platform integrated and unified data management among services, city operators and city users:
Control Room, Real Time Monitoring
decision support, assessing and monitoring risk and resilience
Data analytics and business intelligence
predictions, reasoning, city users behavior analysis, ….
Reading the city: data, users behavior and needs, ...
IOT, Open data sensors, private data, static and real time data.
City Strategies: stimulate virtuous behavior of City Users
participation, totem, twitter, Apps, etc.
Transform Data into value
Put in action smart city innovative solutions and services, development tools
Km4city Smart City Ecosystem Urban PlatformPaolo Nesi
keep city under control via personalized dashboards
improve city resilience, reducing risks and decision support
transform data in value for the city
monitoring services’ status of city operators
Smart City Dashboards, http://dashboard.km4city.org Dashboard Builder
monitoring and understanding the city users behaviour
Recommender and User Behavior Analyzer, http://recommender.km4city.org
WiFi monitor, http://wifimap.km4city.org
Origin Destination matrix tools http://www.disit.org/6694
collecting moods, contributions and data from the city users
Collecting contributions: images, stars, comments and Social Media
monitoring social media for city services and events, event predictions
Twitter Vigilance, http://www.disit.org/tv , http://tvsolr.disit.org
assessing city resilience level
Resilience Decision Support, http://resilienceds.km4city.org
Smart decision support system, http://smartds.km4city.org
improving city resilience, providing objective hints
Resilience Decision Support implementing European Resilience Management Guidelines (ERMG) http://www.resolute-eu.org
improving city users awareness with personal city assistants and participatory tools
Dashboard: http://dashboard.km4city.org
Km4City Web App http://www.km4city.org
Km4City Mobile App: http://www.km4city.org/app
enabling commercial and business applications
decision support access
aggregating multi-domain data and services for SMEs and city operators
Data /Service Aggregator: open, flexible and suitable access
data aggregation and access Smart City API
integrated data and services, accessible as on demand basis
providing services for third party portals and Apps: geo-localized data and services, info, suggestions
suggestion on demand service for SMEs and city operators
Suggestion On Demand see above
Personal Assistance: information, engagement, soundage
development tool for fast and low cost implementation of business and service oriented Apps
Smart City API
Snap4City November 2019 Course: Smart City IOT development of IOT ApplicationsPaolo Nesi
• IOT Applications, Devices and Dashboards
– Managing IOT Applications
– Authoring IOT Applications
– IOT App vs Data Analytic
– IOT App vs Web Scraping
– IOT Apps Examples
• From Simple to Data Processing IOT Applications
– Create a Simple IOT Application (Demo)
– Production of IOT Application (Exercitation)
– Data Processing with IOT Application (Demo)
– Processing Data with IOT Applications (Exercitation)
• IOT Network Support
– Proprietary IOT Devices as Well as Open hardware / Open Software
• IOT end-2-end Secure Stack
Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp.
Snap4City is 100% open source:
robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, GDPR, and city dashboards.
extending with IOT/IOE the semantic reasoner of Km4City https://www.km4city.org
Km4City has been validated in multiple devices (PC, Android, Raspberry, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and million of data per day.
The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, .. thus
setting up smart city solutions in a snap
Serve as a City Dashboard, App User Interface, etc.
Real time and historical data, any device, sensors and actuators
Sensors, KPI, maps, data trends, real time data, charts, etc.
Referral / historical data, and Open Data:
shadow, access (API, storage, any protocol), production of OD, export
Data Driven Real Time communication & processing:
IOT Applications, IOT edge, multiple operating systems, embedded systems, MicroServices
in/out data driven from/to the field into: applications, notifications, etc.
Data Analytics: Machine Learning, statistics, reasoning, …
Serve as Living Lab: open innovation, coworking; collaborative work; sharing: data, processes, dashboard, experiences, solutions, ….
Experimented on large scale cases
Snap4City November 2019 Course: Smart City IOT platform installation, deploy,...Paolo Nesi
• Snap4City Architecture
• Snap4City: Smart City IOT as a Service
• Snap4City Living Lab For Collaborative Work
• Smart City Development Life Cycle
• Analysis and Design for Innovation (Co-Creation and Co-Working)
• Development Tools
• How to Add Functions that are not present in the Platform
• Snap4City vs Fi-Ware
• Snap4City vs State of the Art Solutions
• Snap4City Services: Consulting and Developing
• Snap4City vs Snap4Industry 4.0
• Installing Snap4City
• The view of the Administrator
• Monitoring Resource Consumption and Traffic
• Managing and Monitoring Data Traffic in the BackOffice
• Auditing Activities
• Managing Back Office processes via Containers
• Acknowledgement
Artificial Intelligence is the use of advanced forms of machine learning, including neural networks. It has been in existence as a concept since Turing and von Neumann explained the techniques of data processing. When we talk to policymakers about AI regulation we face a very similar problem as with cyberlaw and network neutrality. It is undefined, as revealed in the inadequate European Union AI Act in draft. Legal technology history requires this primer on the good/bad lessons of cyberlaw & network neutrality history versus AI unregulation. There is a contemporary comparison for AI regulation via ethics with disinformation and electronic privacy policy, all largely unenforced and left to ethical codes of conduct. Some differences exist, but cyberlaw and broadband policy provide good comparisons with AI policy, because all are broadly general purpose technologies that must eventually be regulated. I argue in conclusion that effective enforcement will require co-regulation.
IOT/IOE Elastically Scalable Architecture for Smart City and Industry 4.0Paolo Nesi
Snap4 has been created as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4 is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4 for Smart city is Snap4City (Https://www.snap4city.org ) is an open platform and solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc.
Snap4city has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions.
The solution is fully complient with NodeJS with nodex published on JS foundation, is powered by Fi-Ware, compliant with LoraWan, SigFox, Mqtt, AMQP, Coap, NGSI, OMAM2M, WSs, Https, powered by Km4City, TensorFlow NVIDIA, Hadoop, etc. etc.
slides and demos: the platform includes full stack, any format, any protocol, from IOT Device, IOT Edges, Data Analytics, and Dashboards.
Snap4City: SCALABLE SMART ANALYTIC APPLICATION BUILDER FOR SENTIENT CITIESPaolo Nesi
• Dashboards: from City Dashboard to Applications
• Data gathering and City Data Knowledge Management
• Forging & Managing Open and Flexible Web and Mobile Apps
• IOT/IOE Devices and Networks
• IOT Applications, the Logic and the Smartness
• IOT Applications vs IOT Edge Devices
• Advanced Smart City API, MicroServices, Snap4City API
• Snap4City Living Lab for Collaborative Work
• Snap4City for Beginners
• Open to developers and stakeholders
• Snap4City Architecture and Ecosystem
• Decision Support System vs Resilience
• Twitter Vigilance: Social Media Analysis
• Snap4City and Km4City Projects
• How to Adopt Snap4City, and our Roadmap
• Snap4City: the view of the Administrators
Presentation for the Architecture of Smart Cities course of Polimi, Piacenza (IMM designlab, prof. Massimo Tadi).
Notice: The majority of the material and findings presented in this presentation has been created within the European Commission study ‘APIs4DGov’. Thanks to the whole ’APIs4DGov extended team’ (Vaccari Lorenzino, Posada Monica, Boyd Mark, Gattwinkel Dietmar, Mavridis Dimitris, Smith Robin Sinclair, Santoro Mattia, Nativi Stefano, Medjaoui Mehdi, Reusa Isabelle, Switzer Shelby, Friis-Christensen Anders) and to many colleagues and external experts that contributed in various ways to the study.
Rights Enforcement and Licensing Understanding for RDF Stores Aggregating Ope...Paolo Nesi
Several applications are going to aggregate data on triple stores coming from different data sets and presenting different licenses. Semantic queries should provide only allowed triples, while most of the RDF stores have strong limitations in providing support for access control, licensing, rights enforcement and supporting the developers in providing tutoring information about what is possible and what is not. In this paper, a specific solution is proposed for supporting developers in understanding the licensing level of the requested triples, and the RDF stores in enforcing rights. The proposed solutions can be integrated into a range of different RDF stores for removing their limitations and assisting developers. The proposed solution has been developed and tested in the case of large smart city solution called Km4City and adopted in a number of projects: Sii-Mobility SCN, RESOLUTE H2020 and REPLICATE H2020.
Functional Resonance Analysis Method based- Decision Support tool for Urban T...Paolo Nesi
Today, managing critical infrastructure resilience in smart city is a challenge that can be undertaken by adopting a new class of smart tools, which are able to integrate modeling capability with evidence driven decision support. The Resilience Decision Support tool, as presented in this article, is an innovative and powerful tool that aims at managing critical infrasctructure resilience through a more complex and expressive model based on the Functional Resonance Analysis Method and through the connection of such a model with a system thinking based decision support tool exploiting smart city data. Thanks to ResilienceDS, FRAM model becomes computable and the functional variability that is at the core of the resilience analysis can be quantified. Such quantification allows the decision support tool to compute specific strategies and recommendations for variability dampening at strategic, tactic and operational stage. The solution has been developed in the context of RESOLUTE H2020 project of the European Commission. Keywords—smart city, Functional Resonance Analysis Method; Decision Support System; Resilience; Urban Stransport System;
RESOLUTE: Governing for Resilience – Implementation Challenges Paolo Nesi
Conducting systematic review and assessment of the state of the art of Resilience Assessment and management concepts, national guidelines and their implementation strategies in order to develop a
conceptual framework for resilience with Urban Transport Systems, UTS
Development of European Resilience Management Guidelines, ERMG
Operationalize and validate the ERMG by implementing the Collaborative Resilience Assessment and Management Support System (CRAMSS) for UTS addressing Roads and Rails infrastructures
Enhancing resilience through improved support to human decision making processes, particularly through increased focus on the training of first responders and population on ERMG and RESOLUTE System
ERMG wide dissemination promoting acceptance and adoption at EU and Associate Countries level
Sii-Mobility Km4City Smart City API and AppPaolo Nesi
Service search near GPS position
Service search within a GPS area
Service search within a WKT described area
Service search within a stored WKT described area
Service search by municipality
Service search by query id
Full text search
Event search
Address and geometry search by GPS
Service info
Generic Service
Event
Parking service
Traffic sensor
Weather Forecast
Bus station
Fuel Station
First aid
Smart waste container
Smart bench
Smart irrigator
Energy meter
Recharge station
Smart street light
Air quality monitoring station
(Bus) Agency list
(Bus) Lines list
(Bus) Routes list
(Bus) Stop list
Search (Bus) Routes in a geographic area
Estimated Bus position
Rating and comment API
Service Photo API
Last contributions API
Recommender API
Shortest path finder API
Image caching API
Basi di dati, SQL
Casi: Analisi della struttura di documenti
Intelligenza Artificiale
Apprendimento, clustering, alberi decisionali
Web crawling, XML, analisi dei testo
Casi di studio: OSIM
Reasoning and inferential
Big data introduction: NoSQL, graph database, ..
Social Media: user profiling, recommendations
Caso di Studio: Twitter Vigilance, sentiment analysis
Architetture parallele
Casi di studio: smart city
Casi di studio: Smart Cloud
Integrated infrastructure for urban platform in Florence Replicate project scc1Paolo Nesi
Integrated infrastructure for urban platform in Florence Replicate project scc1.
Aggregate & integrate data and streams of any urban system, operator,
provider, user, .., exploiting
– open data, IOT, sensors, internet of everything,
– cloud, mobile devices, Wi‐Fi, social media,
– big data analytics, ecc;
• Perform integrated and unified data management and data analytics by a set
of tools at service of city operators and city users, to:
– Control Room, Real Time Monitoring tools, ….
– Perform predictions, reasoning, business intelligence, city users behavior analysis
• Produce value from data enabling to
– Stimulate virtuous behavior, influence City Users!
– Increase efficiency in energy consumption
– Reduce pollution and traffic congestion
– Improve quality of service, quality of life
– Create an ecosystem for innovation and punt in action any smart city solutions
and services.
Twitter Vigilance: Modelli e Strumenti per l’Analisi e lo Studio di Dati Soci...Paolo Nesi
Twitter Vigilance: le analisi http://www.disit.org
Analisi e caratterizzazione della comunicazione
Percezione sociale, eventi pubblici, naturali..
Scoprire, identificare e calcolare
Nascita / crescita di nuove occorrenze in tempo reale: eventi, fatti, meteo, condizioni critiche, etc.
Supporto alla decisioni, ridurre i tempi di reazione, valutare la percezione, ridurre i costi, incrementare la resilienza come capacità di reagire, diagnosi precoce
Chi influenza la comunicazione, le comunità e come: i pusher, gli attori, i follower, le sorgenti, etc.
Predizione su eventi periodici, per esempio presenze ad eventi, presenze sui canali televisivi, vendite aziende, etc.
Misure indirette basate sulla popolazione: rischio sicurezza, degrado, neve, grandine, vento, fallimenti, etc.
Km4city: Open Urban Platform for a Sentient Smart CityPaolo Nesi
Km4city: Open Urban Platform for a Sentient Smart City, presented at Smart City Expot World Congress.
Produce value from data enabling to
– Stimulate virtuous behavior, influence City Users!
– Increase efficiency in energy consumption
– Reduce pollution and traffic congestion
– Improve quality of service, quality of life
– Create an ecosystem for innovation and punt in action any smart city solutions
and services.
• Perform integrated and unified data management and data analytics by a set
of tools at service of city operators and city users, to:
– Perform predictions, reasoning, business intelligence, city users behavior analysis,
..;
– Control Room, Real Time Monitoring tools, ….
• Aggregate & integrate data and streams of any urban system, operator,
provider, user, .., exploiting
– open data, IOT, sensors, internet of everything,
– cloud, mobile devices, Wi‐Fi, social media,
– big data analytics, ecc;
1. keep city under control via personalized dashboards
2. transform data in value for the city, influence city users
3. Technical details: dashboard development and data aggregation
4. improve city resilience, reducing risks and decision support
Km4City: una soluzione aperta per erogare servizi Smart CityPaolo Nesi
Km4City: Integrated Urban Platform, Open Source
Aggregate & integrate data
Multiple protocols from urban operators, ....
open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi-Fi, social media, ...
Data Exploitation performing
predictions, reasoning, business intelligence, ..
users behavior analysis, decision support system, ..
Control Room, Real Time Monitoring tools, ….
Produce value from data enabling to
Stimulate virtuous behavior, influence City Users!
Put in action CITY Strategies
Km4City Smart City API: an integrated support for mobility servicesPaolo Nesi
AbstractThe main technical issues regarding smart city solutions are related todata gathering, aggregation, reasoning, access, and service delivering via Smart City APIs (Application Program Interfaces). Aggregated and re-conciliated data (open and private, static and real time) should be exploitable by reasoning/smart algorithms for enabling sophisticated service delivering. Different kinds of Smart City APIs enable Smart City Services and Applications, while their effectiveness depends on the architectural solutions to pass from data to services for city users and operators. To this end, a comparison of the state of the art solutions for data aggregation was performed, by putting in evidence the needs of semantic interoperable aggregated data, to provide smart services. This paper presents the work performed in the context of the Sii-Mobility national smart city project on mobility and transport integrated with services. Sii-Mobility is grounded on Km4City ontology and tools for smart city data aggregation and service production. To this end, Sii-Mobility/Km4City APIs have been compared to the state of the art solutions. Finally, the API consumption related data in the recent period are presented. Keywords smart city, smart city ontology, smart city API, smart mobility, multidomain smart city, smart services.
IEEE Smartcomp
Km4City: how to make smart and resilient your city, beginner documentPaolo Nesi
Open Source and inter-operable tools to
• keep city under control via personalized dashboards
• monitoring services’ status of city operators
• monitoring and understanding the city users behaviour
• collecting moods, contributions and data from the city users
• monitoring social media for city services and events, event predictions
• improve city resilience, reducing risks and decision support by:
• assessing city resilience level
• improving city resilience, providing objective hints
• improving city users awareness with personal city assistants and participatory tools
• transform data in value for the city:
• enabling commercial and business applications
• aggregating multi-domain data and services for SMEs and city operators
• enabling integrated city services into third party web portal for all
• providing suggestion on demand services for SMEs and city operators
• accelerating and simplifying the implementation of business and service oriented Apps
Follow the Km4City City Smartener Process
Snap4City November 2019 Course: Smart City IOT Geernal overview, from dashboa...Paolo Nesi
• Overview
• Urban Platform (main concepts vs Living Lab)
• Snap4City Architecture, roadmap, logos, innovations
• Dashboards: from City Dashboards to Applications
• Trajectories and real time tracking
• Dashboards Intelligence and web and mobile devices
• Dashboard chatrooms and notifications
• Smart City Control Room
• Dashboards production
• Data Gathering and City Data Knowledge Management
• Protocol vs Data
• Data Gathering processes
• GIS Data Import, Export and Exploitation
• Semantic Modeling and City Knowledge Base: Km4CIty
• IOT Applications, Devices and Dashboards
• IOT Devices
• Forging & Managing Flexible Mobile Apps, Web App, MicroApplications
• Web and Mobile App with Open Development Kit
• Understanding how city users are using the city services
• Engaging City Users Towards Virtuous Behaviour
• Data Analytic, Big Data Science
• Data Analytics: predictions
• Smart Parking: predictions
• User behaviour Analysis via Wi-Fi, OD Matrices, Trajectories
• Recognition of Used Transportation Means
• Traffic Flow Reconstruction, from traffic sensors data
• Quality of Public Transport
• Origin Destination Matrices
• Demand of Mobility vs Offer of Transportation
• Modal and Multimodal Routing for Navigation and Travel Planning
• Environmental Data Predictions
• Prediction of Qir Quality
• Anomaly Detection
• Environmental data prediction
• Social Media Analysis
• Snap4City Living Lab for Collaborative Work
• Development Life Cycle
• Development tools
• Data protection, personal da vs GDPR
• Snap4City and Km4City Projects
• Acknowledgment
Smart City Ecosystem, fram data to value for the citizens, Km4City solution, ...Paolo Nesi
Final Users tools:
-Km4City mobile applications
-Km4City web application: http://www.km4city.org
Public administrator tools:
-ServiceMap Server, plus API, http://servicemap.disit.org
-Smart decision support system, http://smartds.disit.org
-Twitter Vigilance connection, http://www.disit.org/tv
Developers tools: http://www.disit.org/km4city
-ServiceMap Server, plus API, http://servicemap.disit.org
-Ontology Documentation
-LOG LOD browser
-Open Source Mobile Application, FODD
Back Office tools for Public Administrations
-Data Ingestion Manager, DIM
-Smart City Engine, SCE, the reasoned with scheduled processes
-RDF Indexer Manager, RIM
-Distributed Scheduler
-RDF store enricher with dbPedia
Adopted on projects and real scenarios
Km4city Smart City Ecosystem Urban PlatformPaolo Nesi
keep city under control via personalized dashboards
improve city resilience, reducing risks and decision support
transform data in value for the city
monitoring services’ status of city operators
Smart City Dashboards, http://dashboard.km4city.org Dashboard Builder
monitoring and understanding the city users behaviour
Recommender and User Behavior Analyzer, http://recommender.km4city.org
WiFi monitor, http://wifimap.km4city.org
Origin Destination matrix tools http://www.disit.org/6694
collecting moods, contributions and data from the city users
Collecting contributions: images, stars, comments and Social Media
monitoring social media for city services and events, event predictions
Twitter Vigilance, http://www.disit.org/tv , http://tvsolr.disit.org
assessing city resilience level
Resilience Decision Support, http://resilienceds.km4city.org
Smart decision support system, http://smartds.km4city.org
improving city resilience, providing objective hints
Resilience Decision Support implementing European Resilience Management Guidelines (ERMG) http://www.resolute-eu.org
improving city users awareness with personal city assistants and participatory tools
Dashboard: http://dashboard.km4city.org
Km4City Web App http://www.km4city.org
Km4City Mobile App: http://www.km4city.org/app
enabling commercial and business applications
decision support access
aggregating multi-domain data and services for SMEs and city operators
Data /Service Aggregator: open, flexible and suitable access
data aggregation and access Smart City API
integrated data and services, accessible as on demand basis
providing services for third party portals and Apps: geo-localized data and services, info, suggestions
suggestion on demand service for SMEs and city operators
Suggestion On Demand see above
Personal Assistance: information, engagement, soundage
development tool for fast and low cost implementation of business and service oriented Apps
Smart City API
Snap4City November 2019 Course: Smart City IOT development of IOT ApplicationsPaolo Nesi
• IOT Applications, Devices and Dashboards
– Managing IOT Applications
– Authoring IOT Applications
– IOT App vs Data Analytic
– IOT App vs Web Scraping
– IOT Apps Examples
• From Simple to Data Processing IOT Applications
– Create a Simple IOT Application (Demo)
– Production of IOT Application (Exercitation)
– Data Processing with IOT Application (Demo)
– Processing Data with IOT Applications (Exercitation)
• IOT Network Support
– Proprietary IOT Devices as Well as Open hardware / Open Software
• IOT end-2-end Secure Stack
Snap4City has been created in response to Select4Cities PCP (http://www.select4cities.eu/) call as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp.
Snap4City is 100% open source:
robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, GDPR, and city dashboards.
extending with IOT/IOE the semantic reasoner of Km4City https://www.km4city.org
Km4City has been validated in multiple devices (PC, Android, Raspberry, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and million of data per day.
The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, .. thus
setting up smart city solutions in a snap
Serve as a City Dashboard, App User Interface, etc.
Real time and historical data, any device, sensors and actuators
Sensors, KPI, maps, data trends, real time data, charts, etc.
Referral / historical data, and Open Data:
shadow, access (API, storage, any protocol), production of OD, export
Data Driven Real Time communication & processing:
IOT Applications, IOT edge, multiple operating systems, embedded systems, MicroServices
in/out data driven from/to the field into: applications, notifications, etc.
Data Analytics: Machine Learning, statistics, reasoning, …
Serve as Living Lab: open innovation, coworking; collaborative work; sharing: data, processes, dashboard, experiences, solutions, ….
Experimented on large scale cases
Snap4City November 2019 Course: Smart City IOT platform installation, deploy,...Paolo Nesi
• Snap4City Architecture
• Snap4City: Smart City IOT as a Service
• Snap4City Living Lab For Collaborative Work
• Smart City Development Life Cycle
• Analysis and Design for Innovation (Co-Creation and Co-Working)
• Development Tools
• How to Add Functions that are not present in the Platform
• Snap4City vs Fi-Ware
• Snap4City vs State of the Art Solutions
• Snap4City Services: Consulting and Developing
• Snap4City vs Snap4Industry 4.0
• Installing Snap4City
• The view of the Administrator
• Monitoring Resource Consumption and Traffic
• Managing and Monitoring Data Traffic in the BackOffice
• Auditing Activities
• Managing Back Office processes via Containers
• Acknowledgement
Artificial Intelligence is the use of advanced forms of machine learning, including neural networks. It has been in existence as a concept since Turing and von Neumann explained the techniques of data processing. When we talk to policymakers about AI regulation we face a very similar problem as with cyberlaw and network neutrality. It is undefined, as revealed in the inadequate European Union AI Act in draft. Legal technology history requires this primer on the good/bad lessons of cyberlaw & network neutrality history versus AI unregulation. There is a contemporary comparison for AI regulation via ethics with disinformation and electronic privacy policy, all largely unenforced and left to ethical codes of conduct. Some differences exist, but cyberlaw and broadband policy provide good comparisons with AI policy, because all are broadly general purpose technologies that must eventually be regulated. I argue in conclusion that effective enforcement will require co-regulation.
IOT/IOE Elastically Scalable Architecture for Smart City and Industry 4.0Paolo Nesi
Snap4 has been created as an open, standardized, data-driven, service-oriented, user-centric platform enabling large-scale co-creation IOT/IOE applications and services for Helsinki, Copenhagen and Antwerp. Snap4 is a fully open source, robust, scalable, easy to use solution, provides tools for co-creation of mixt data driven, stream and batch processing, extending the powerful semantic reasoner of Km4City https://www.km4city.org, with IOT/IOE, GDPR, and city dashboards. Snap4 for Smart city is Snap4City (Https://www.snap4city.org ) is an open platform and solution for setting up Living Labs engaging different all kinds of stakeholders (city operators, researchers, city users, in house, industries) in contributing to the city evolutions, with a platform providing online tools for developing IOT applications, web and mobile Apps, data analytics, micro Applications, external services, KPI, POI, dashboards, IOT edge, etc.
Snap4city has been validated in multiple devices (PC, Android, Raspberry, IOT Button, Arduino, ..), and domains: mobility and transport, tourism, health, welfare, social and cities such as Florence, Pisa, Arezzo, and large area of millions on inhabitants as Tuscany and millions of data per day. The innovation is mainly related to semantic reasoning, IOT interoperability, microservices, automated dashboard production, end-2-end encrypted secure communications, GDPR, .. thus setting up in a Snap smart city solutions.
The solution is fully complient with NodeJS with nodex published on JS foundation, is powered by Fi-Ware, compliant with LoraWan, SigFox, Mqtt, AMQP, Coap, NGSI, OMAM2M, WSs, Https, powered by Km4City, TensorFlow NVIDIA, Hadoop, etc. etc.
slides and demos: the platform includes full stack, any format, any protocol, from IOT Device, IOT Edges, Data Analytics, and Dashboards.
Snap4City: SCALABLE SMART ANALYTIC APPLICATION BUILDER FOR SENTIENT CITIESPaolo Nesi
• Dashboards: from City Dashboard to Applications
• Data gathering and City Data Knowledge Management
• Forging & Managing Open and Flexible Web and Mobile Apps
• IOT/IOE Devices and Networks
• IOT Applications, the Logic and the Smartness
• IOT Applications vs IOT Edge Devices
• Advanced Smart City API, MicroServices, Snap4City API
• Snap4City Living Lab for Collaborative Work
• Snap4City for Beginners
• Open to developers and stakeholders
• Snap4City Architecture and Ecosystem
• Decision Support System vs Resilience
• Twitter Vigilance: Social Media Analysis
• Snap4City and Km4City Projects
• How to Adopt Snap4City, and our Roadmap
• Snap4City: the view of the Administrators
Presentation for the Architecture of Smart Cities course of Polimi, Piacenza (IMM designlab, prof. Massimo Tadi).
Notice: The majority of the material and findings presented in this presentation has been created within the European Commission study ‘APIs4DGov’. Thanks to the whole ’APIs4DGov extended team’ (Vaccari Lorenzino, Posada Monica, Boyd Mark, Gattwinkel Dietmar, Mavridis Dimitris, Smith Robin Sinclair, Santoro Mattia, Nativi Stefano, Medjaoui Mehdi, Reusa Isabelle, Switzer Shelby, Friis-Christensen Anders) and to many colleagues and external experts that contributed in various ways to the study.
Rights Enforcement and Licensing Understanding for RDF Stores Aggregating Ope...Paolo Nesi
Several applications are going to aggregate data on triple stores coming from different data sets and presenting different licenses. Semantic queries should provide only allowed triples, while most of the RDF stores have strong limitations in providing support for access control, licensing, rights enforcement and supporting the developers in providing tutoring information about what is possible and what is not. In this paper, a specific solution is proposed for supporting developers in understanding the licensing level of the requested triples, and the RDF stores in enforcing rights. The proposed solutions can be integrated into a range of different RDF stores for removing their limitations and assisting developers. The proposed solution has been developed and tested in the case of large smart city solution called Km4City and adopted in a number of projects: Sii-Mobility SCN, RESOLUTE H2020 and REPLICATE H2020.
Functional Resonance Analysis Method based- Decision Support tool for Urban T...Paolo Nesi
Today, managing critical infrastructure resilience in smart city is a challenge that can be undertaken by adopting a new class of smart tools, which are able to integrate modeling capability with evidence driven decision support. The Resilience Decision Support tool, as presented in this article, is an innovative and powerful tool that aims at managing critical infrasctructure resilience through a more complex and expressive model based on the Functional Resonance Analysis Method and through the connection of such a model with a system thinking based decision support tool exploiting smart city data. Thanks to ResilienceDS, FRAM model becomes computable and the functional variability that is at the core of the resilience analysis can be quantified. Such quantification allows the decision support tool to compute specific strategies and recommendations for variability dampening at strategic, tactic and operational stage. The solution has been developed in the context of RESOLUTE H2020 project of the European Commission. Keywords—smart city, Functional Resonance Analysis Method; Decision Support System; Resilience; Urban Stransport System;
RESOLUTE: Governing for Resilience – Implementation Challenges Paolo Nesi
Conducting systematic review and assessment of the state of the art of Resilience Assessment and management concepts, national guidelines and their implementation strategies in order to develop a
conceptual framework for resilience with Urban Transport Systems, UTS
Development of European Resilience Management Guidelines, ERMG
Operationalize and validate the ERMG by implementing the Collaborative Resilience Assessment and Management Support System (CRAMSS) for UTS addressing Roads and Rails infrastructures
Enhancing resilience through improved support to human decision making processes, particularly through increased focus on the training of first responders and population on ERMG and RESOLUTE System
ERMG wide dissemination promoting acceptance and adoption at EU and Associate Countries level
Sii-Mobility Km4City Smart City API and AppPaolo Nesi
Service search near GPS position
Service search within a GPS area
Service search within a WKT described area
Service search within a stored WKT described area
Service search by municipality
Service search by query id
Full text search
Event search
Address and geometry search by GPS
Service info
Generic Service
Event
Parking service
Traffic sensor
Weather Forecast
Bus station
Fuel Station
First aid
Smart waste container
Smart bench
Smart irrigator
Energy meter
Recharge station
Smart street light
Air quality monitoring station
(Bus) Agency list
(Bus) Lines list
(Bus) Routes list
(Bus) Stop list
Search (Bus) Routes in a geographic area
Estimated Bus position
Rating and comment API
Service Photo API
Last contributions API
Recommender API
Shortest path finder API
Image caching API
Basi di dati, SQL
Casi: Analisi della struttura di documenti
Intelligenza Artificiale
Apprendimento, clustering, alberi decisionali
Web crawling, XML, analisi dei testo
Casi di studio: OSIM
Reasoning and inferential
Big data introduction: NoSQL, graph database, ..
Social Media: user profiling, recommendations
Caso di Studio: Twitter Vigilance, sentiment analysis
Architetture parallele
Casi di studio: smart city
Casi di studio: Smart Cloud
Integrated infrastructure for urban platform in Florence Replicate project scc1Paolo Nesi
Integrated infrastructure for urban platform in Florence Replicate project scc1.
Aggregate & integrate data and streams of any urban system, operator,
provider, user, .., exploiting
– open data, IOT, sensors, internet of everything,
– cloud, mobile devices, Wi‐Fi, social media,
– big data analytics, ecc;
• Perform integrated and unified data management and data analytics by a set
of tools at service of city operators and city users, to:
– Control Room, Real Time Monitoring tools, ….
– Perform predictions, reasoning, business intelligence, city users behavior analysis
• Produce value from data enabling to
– Stimulate virtuous behavior, influence City Users!
– Increase efficiency in energy consumption
– Reduce pollution and traffic congestion
– Improve quality of service, quality of life
– Create an ecosystem for innovation and punt in action any smart city solutions
and services.
Twitter Vigilance: Modelli e Strumenti per l’Analisi e lo Studio di Dati Soci...Paolo Nesi
Twitter Vigilance: le analisi http://www.disit.org
Analisi e caratterizzazione della comunicazione
Percezione sociale, eventi pubblici, naturali..
Scoprire, identificare e calcolare
Nascita / crescita di nuove occorrenze in tempo reale: eventi, fatti, meteo, condizioni critiche, etc.
Supporto alla decisioni, ridurre i tempi di reazione, valutare la percezione, ridurre i costi, incrementare la resilienza come capacità di reagire, diagnosi precoce
Chi influenza la comunicazione, le comunità e come: i pusher, gli attori, i follower, le sorgenti, etc.
Predizione su eventi periodici, per esempio presenze ad eventi, presenze sui canali televisivi, vendite aziende, etc.
Misure indirette basate sulla popolazione: rischio sicurezza, degrado, neve, grandine, vento, fallimenti, etc.
Km4city: Open Urban Platform for a Sentient Smart CityPaolo Nesi
Km4city: Open Urban Platform for a Sentient Smart City, presented at Smart City Expot World Congress.
Produce value from data enabling to
– Stimulate virtuous behavior, influence City Users!
– Increase efficiency in energy consumption
– Reduce pollution and traffic congestion
– Improve quality of service, quality of life
– Create an ecosystem for innovation and punt in action any smart city solutions
and services.
• Perform integrated and unified data management and data analytics by a set
of tools at service of city operators and city users, to:
– Perform predictions, reasoning, business intelligence, city users behavior analysis,
..;
– Control Room, Real Time Monitoring tools, ….
• Aggregate & integrate data and streams of any urban system, operator,
provider, user, .., exploiting
– open data, IOT, sensors, internet of everything,
– cloud, mobile devices, Wi‐Fi, social media,
– big data analytics, ecc;
1. keep city under control via personalized dashboards
2. transform data in value for the city, influence city users
3. Technical details: dashboard development and data aggregation
4. improve city resilience, reducing risks and decision support
Km4City: una soluzione aperta per erogare servizi Smart CityPaolo Nesi
Km4City: Integrated Urban Platform, Open Source
Aggregate & integrate data
Multiple protocols from urban operators, ....
open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi-Fi, social media, ...
Data Exploitation performing
predictions, reasoning, business intelligence, ..
users behavior analysis, decision support system, ..
Control Room, Real Time Monitoring tools, ….
Produce value from data enabling to
Stimulate virtuous behavior, influence City Users!
Put in action CITY Strategies
Km4City Smart City API: an integrated support for mobility servicesPaolo Nesi
AbstractThe main technical issues regarding smart city solutions are related todata gathering, aggregation, reasoning, access, and service delivering via Smart City APIs (Application Program Interfaces). Aggregated and re-conciliated data (open and private, static and real time) should be exploitable by reasoning/smart algorithms for enabling sophisticated service delivering. Different kinds of Smart City APIs enable Smart City Services and Applications, while their effectiveness depends on the architectural solutions to pass from data to services for city users and operators. To this end, a comparison of the state of the art solutions for data aggregation was performed, by putting in evidence the needs of semantic interoperable aggregated data, to provide smart services. This paper presents the work performed in the context of the Sii-Mobility national smart city project on mobility and transport integrated with services. Sii-Mobility is grounded on Km4City ontology and tools for smart city data aggregation and service production. To this end, Sii-Mobility/Km4City APIs have been compared to the state of the art solutions. Finally, the API consumption related data in the recent period are presented. Keywords smart city, smart city ontology, smart city API, smart mobility, multidomain smart city, smart services.
IEEE Smartcomp
Km4City: how to make smart and resilient your city, beginner documentPaolo Nesi
Open Source and inter-operable tools to
• keep city under control via personalized dashboards
• monitoring services’ status of city operators
• monitoring and understanding the city users behaviour
• collecting moods, contributions and data from the city users
• monitoring social media for city services and events, event predictions
• improve city resilience, reducing risks and decision support by:
• assessing city resilience level
• improving city resilience, providing objective hints
• improving city users awareness with personal city assistants and participatory tools
• transform data in value for the city:
• enabling commercial and business applications
• aggregating multi-domain data and services for SMEs and city operators
• enabling integrated city services into third party web portal for all
• providing suggestion on demand services for SMEs and city operators
• accelerating and simplifying the implementation of business and service oriented Apps
Follow the Km4City City Smartener Process
Snap4City November 2019 Course: Smart City IOT Geernal overview, from dashboa...Paolo Nesi
• Overview
• Urban Platform (main concepts vs Living Lab)
• Snap4City Architecture, roadmap, logos, innovations
• Dashboards: from City Dashboards to Applications
• Trajectories and real time tracking
• Dashboards Intelligence and web and mobile devices
• Dashboard chatrooms and notifications
• Smart City Control Room
• Dashboards production
• Data Gathering and City Data Knowledge Management
• Protocol vs Data
• Data Gathering processes
• GIS Data Import, Export and Exploitation
• Semantic Modeling and City Knowledge Base: Km4CIty
• IOT Applications, Devices and Dashboards
• IOT Devices
• Forging & Managing Flexible Mobile Apps, Web App, MicroApplications
• Web and Mobile App with Open Development Kit
• Understanding how city users are using the city services
• Engaging City Users Towards Virtuous Behaviour
• Data Analytic, Big Data Science
• Data Analytics: predictions
• Smart Parking: predictions
• User behaviour Analysis via Wi-Fi, OD Matrices, Trajectories
• Recognition of Used Transportation Means
• Traffic Flow Reconstruction, from traffic sensors data
• Quality of Public Transport
• Origin Destination Matrices
• Demand of Mobility vs Offer of Transportation
• Modal and Multimodal Routing for Navigation and Travel Planning
• Environmental Data Predictions
• Prediction of Qir Quality
• Anomaly Detection
• Environmental data prediction
• Social Media Analysis
• Snap4City Living Lab for Collaborative Work
• Development Life Cycle
• Development tools
• Data protection, personal da vs GDPR
• Snap4City and Km4City Projects
• Acknowledgment
Smart City Ecosystem, fram data to value for the citizens, Km4City solution, ...Paolo Nesi
Final Users tools:
-Km4City mobile applications
-Km4City web application: http://www.km4city.org
Public administrator tools:
-ServiceMap Server, plus API, http://servicemap.disit.org
-Smart decision support system, http://smartds.disit.org
-Twitter Vigilance connection, http://www.disit.org/tv
Developers tools: http://www.disit.org/km4city
-ServiceMap Server, plus API, http://servicemap.disit.org
-Ontology Documentation
-LOG LOD browser
-Open Source Mobile Application, FODD
Back Office tools for Public Administrations
-Data Ingestion Manager, DIM
-Smart City Engine, SCE, the reasoned with scheduled processes
-RDF Indexer Manager, RIM
-Distributed Scheduler
-RDF store enricher with dbPedia
Adopted on projects and real scenarios
The data!
Services from Data via Smart City API
IOT Applications and IOT
Personal Data vs Open
Big Data Analytics
App as data collection and User Engagement
Social Media Analysis
Visual Analytics and Dashboards
The Living Lab Approach
A Smart City Development kit for designing Web and Mobile AppsPaolo Nesi
Presentation of some of the Km4City development tools: ServiceMap and App Development Kit, ADK.
ServiceMap is focused on providing information to the developers, to help them learning how to access to the data model, to exploit and use the API
ADK is a drafted modular web and mobile application based on HTML5 and JavaScript (apache Cordova) that can be used to exploit Smart City API to develop a large range of applications.
It is modular, flexible, etc. and allow performing users behavior analysis.
The solutions are currently in use on several EC and national Projects such as: Sii-Mobility, RESOLUTE, REPLICATE, Weee, …
Cities aims at providing new Smart Services to city users:
operators, final users, etc.
In most cases via Web and Mobile Apps which exploit data:
Structural data, open data, real time data, etc., private data from companies
to be aggregated and transformed in services (providing: prediction, information, early warning, relations)
at reasonable cost for: developers, operators, and SME to realize new Apps and services.
If cost is not affordable, Services and Apps are not developed, in most cases the Apps are also provided for free, so that high costs are not sustainable Public Private Partnership
Scenarious vs SmartCity API
Search data: by text, near, along, etc...
Resolving text to GPS and formal city nodes model
Empowering the city users
Access to event information
Supporting City Users in using Public Mobility
Supporting City Users in using Private Mobility
New Experience to access at Cultural and Touristic info
New way to access at health services
Access at Environmental information
Profiled Suggestions to City Users
Personal Assistant
Sharing knowledge among cities
ServiceMap tool
with Km4City are substantially a Smart City Expert System, SCES
includes the Smart City API
is a for developers to: search and browse on Smart City Knowledge, also to generate examples of the Smart City API call to be used in the development of Web and Mobile Apps
The IEEE Smart World Congress originated from the 2005 Workshop on Ubiquitous Smart Worlds (USW, Taipei) and the 2005 Symposium on Ubiquitous Intelligence and Smart World (UISW, Nagasaki). SmartWorld 2017 in San Francisco is the next edition after the successful SmartWorld 2016 in Toulouse France and SmartWorld 2015 in Beijing China. SmartWorld 2017 is to provide a high-profile, leading-edge platform for researchers and engineers to exchange and explore state-of-art advances and innovations in graceful integrations of Cyber, Physical, Social, and Thinking Worlds for the theme
http://ieee-smartworld.org/2017/smartworld/
DAI DATI INTELLIGENTI AI SERVIZI Smart City API HackathonPaolo Nesi
DAI DATI INTELLIGENTI AI SERVIZI
Smart City API Hackathon
Premi per 14.000 euro
Data: 7 e 8 aprile 2017
Luogo: Scuola di Ingegneria, Università degli Studi di Firenze
Il progetto Sii-Mobility, Smart City nazionale (MIUR), organizza il primo hackathon per promuovere lo sviluppo di applicazioni fisse e mobili sulla base delle http://www.disit.org/6991che si basano sul modello http://www.km4city.org .
Scopo dell'evento di hackathon è identificare nuove applicazioni che possano essere sviluppate sulla base di dati ed elaborazioni messi disposizione dalle smart city API di Sii-Mobility. I Dati sono in tutta la toscana e come dagli scenari http://www.disit.org/6995, sono relativi alla mobilità pubblica e privata, alla partecipazione, alle informazioni geolocalizzate dei punti di interesse, della salute, ambiente, e servizi di suggerimento e di coinvolgimento e assistenza.
Le tematiche affrontate dalle App proposte dovranno essere relative ad aspetti di mobilità, e in particolare ai seguenti 5 temi: Trasporto pubblico; Coinvolgimento dei cittadini, mobilità e turismo, mobilità e servizi, giochi in mobilità.
http://www.sii-mobility.org/index.php/eventi/hackathon-sii-mobility/registrati-all-evento-del-7-mattina
Documentazione e informazioni dalla pagina: http://www.sii-mobility.org/
Scadenza sottomissione delle proposte: 31 marzo 2017.
Premi per 14.000 euro, #hackathon #smartcity API, #bigdata #opendata della #Toscanadigitale #firenze #pisa #arezzo #direfare #forumpa
#hackathon #smartcity #bigdata #opendata #Toscanadigitale #firenze #pisa #arezzo #direfare #forumpa
Smart City API, 14.000 euro di premi, Hackathon
Keynote: Making Smarter Tuscany and Florence with Km4CityPaolo Nesi
Keynote at International Summit on Smart World and Smart Cities, In Conjunction With 2017 IEEE Smart World Congress
August 5, 2017, San Francisco, USA
http://smart-city-conference.com/summit2017/
Sentient Urban Platform for Smart City
Set up an ICT based Urban Platform integrated and unified data management among services, city operators and city users:
Control Room, Real Time Monitoring
decision support, assessing and monitoring risk and resilience
Data analytics and business intelligence
predictions, reasoning, city users behavior analysis, ….
Reading the city: big data, users behavior and needs, ...
IOT, Open data sensors, private data, static and real time data.
City Strategies: stimulate virtuous behavior of City Users
participation, totem, twitter, Apps, etc.
Transform Data into value
Put in action smart city innovative solutions and services, development tools
What is enabling and providing smart services
Smart Parking, in Tuscany
Smart First Aid in Tuscany
Smart Fuel pricing in Tuscany
Smart search for POI and public transport srv.
Public Transportation in Tuscany
Routing and multimodal in Tuscany
Social Media Monitoring and acting
Traffic events and Resilience in Florence
Bike Sharing in Pisa and Siena
Recharge stations for e-vehicles
Entertainment Events in Florence
Traffic Sensors in Tuscany
Weather forecast/condition in Tuscany
Pollution and Pollination in Tuscany
People Monitoring Assessment in the City, in Florence via WiFi
People Monitoring, in Tuscany via App
All Point of Interests, cultural activities, IOT, …
Over than 1.2 Million of complex events per day!
DISIT: Competenze per Industria 4.0
Technical Areas:
Industrial Internet: integrazione di fabbrica, ..
Smart/Advanced manufacturing: mobility, delivering, optimization, etc.
(Smart City: mobility and transport, energy, IOT/IOE, analytics, …)
(Smart Retail: user behavior analysis, engagement, …)
Technologies:
Big Data and Analytics: data management, user analysis, user engagement, prediction, early detection, data intelligence, …
Data Mining: artificial intelligence, semantic computing, semantic reasoner, expert systems, statistic analysis, ..
IOT/IOE: internet of things/everything, brokers, microservices, ..
Cloud: smart cloud, cloud simulation, optimization, ..
Mobile Computing: mobile application, user behavior analysis, ..
NLP and Sentiment Analysis: response Vigilance, interaction, answering, ..
See projects on: http://www.disit.org/5501
Big Data analytics Aree Applicative
-Smart manufacturing
-Personal assistants
-Autonomous engine, semantic reasoners
-Experts systems
-Smart Cloud
-Services and microservices integration
-Industrie farmaceutiche
-Mobilità e Trasporti
-Turismo e Cultura
-Smart City, Innovation Lab
Servizi alla persona
Smart City and Open Data Projects and tools of DISIT LabPaolo Nesi
Current research topics
• Social media, collaborative work, Mobile computing, OpenData, LOD
• SmartCity, BigData, data analytics
• Railway signaling, autonomous driving systems, formal methods
• Cloud Computing, grid computing, smart cloud
• Data Mining, Knowledge Acceleration, natural language processing
Main research results
• Knowledge Management and Natural Language Processing: OSIM, CoSkoSAM
• Content and Protection Management, grid computing: AXMEDIS AXCP
• Social Media, recommendations and tool: ECLAP.eu, MyStoryPlayer, Social Graph, IPR Wizard…
• Mobile Computing: Mobile Medicine, Mobile Emergency, etc.….
• Music Transcode, winner of MIREX for piano
• Awards: IEEE ICECCS, DMS, Italia degli Innovatori, etc.
Main sources of funding
• European Commission: ECLAP (social media, Cultural Heritage, open data), AXMEDIS (DRM, protection, automation e grid computing), WEDELMUSIC, IMAESTRO, VARIAZIONI, IMUTUS, MUSICNETWORK, MOODS, MUPAAC, OFCOMP, etc. ……
• Italian Ministry: Smart Cities COLL@BORA (collaborative work, social media), FIRB e PRIN
• Regional: SACVAR (knowledge mining and reasoning), TRACE‐IT (Railway signalling), RAISSS (Railway signalling), ICARO (cloud)
• Fondations: MatchMaking (NLP), OSIM (Knowledge Acceleration, NLP)
DISIT Potential challenges and interests
DISIT is interested in participating in the next calls of the European Commission and in particular for:
• Working on open data and linked open data for smart city, smart cloud, smart manufacturing, smart museum, etc.
• Creating semantic models and reasoning engines
• Creating data mining and natural language processing tools as SACVAR/OSIM
• Working on defining big data solutions and infrastructures
• Working on data analytics algorithms computing:
• Predictions and trends,
• unexpected correlations,
• data inconsistencies and incompleteness,
• etc.
Smart City Strategic Forecast, SmartCity360, BratislavaPaolo Nesi
Smart City strategy, city smartening, big data amanagement,
-Taking into account results of participatory actions
-Smart city strategic plan, city agenda: prioritizing interventions
-Agreements for collaborations with main actors:
main research centers, main City Operators, etc.
-Direct collaborations on specific projects on:
ICT, Mobility, Culture, Energy, etc.
Experimenting on specific projects of the Smart City Strategic Plan
-Needs of harmonizing results and aggregating data towards dashboards
Km4City: Smart City Ontology Building for Effective Erogation of ServicesPaolo Nesi
Provides a unique point of service with integrated and aggregated data and tools for
-- Qualified users: public administrations à developers
-- Operators: mobility, energy, SME, shops, ….. à developers
-- Final users à citizens, students, pendular, tourists
Problems:
--Aggregated Data are not available:
not semantically interoperable, heterogeneous for: format, vocabulary, structure, velocity, volume, ownership/control, access / license, …
---As OD, LD, LOD, private data, ..
---Lack of Services and tools to make the adoption simple
Final Users tools:
--Km4City mobile app with personal assistant is coming…
--Km4City mobile applications: Google Play, Apple Store, …
--Km4City web application: http://www.km4city.org
--Open Source Mobile Application, FODD: an example in open source http://www.disit.org/6595
Public administrator tools:
--Smart decision support system, http://smartds.disit.org
--Developers http://www.disit.org/km4city tools:
--Service Map Server, plus API, http://servicemap.disit.org
--LOG LOD browser: an ultimate visual tool to browse the RDF Store.
--Ontology Documentation: an ultimate tool to understand,
if needed !!
The dirty work of Km4City service
--Data Ingestion Manager, DIM
--RDF Indexer Manager, RIM
--RDF Store Methodology
--RDF store enricher with dbPedia
--Distributed SCE Scheduler, DISCES
--SCE: Smart City Engine
--Doc and info on http://www.disit.org/km4city
Smart City at DISIT Lab, step two after smart city for beginnersPaolo Nesi
Smart City Concepts
Architecture of Smart City Infrastructures
Peripheral processors
Data ingestion and mining
Reasoning and Deduction
Data Acting processors
SmartCity Project Coll@bora
SmartCity Project Sii-Mobility
Data Mining and smart City problematic
DISIT Smart City Ontology
Data ingestion and integration
Service Map and Linked Open Graph
Blog Vigilance via Natural Language Processing
Mobile Emergency
Smart Health
Smart Education
Smart Mobility
Smart Energy
Smart Governmental
Smart economy
Smart people
Smart environment
Smart living
Smart Telecommunication
hackathon smart city API, dai dati ai serviziPaolo Nesi
DAI DATI INTELLIGENTI AI SERVIZI
Smart City API Hackathon
Premi per 14.000 euro
Data: 7 e 8 aprile 2017
Luogo: Scuola di Ingegneria, Università degli Studi di Firenze
Il progetto Sii-Mobility, Smart City nazionale (MIUR), organizza il primo hackathon per promuovere lo sviluppo di applicazioni fisse e mobili sulla base delle http://www.disit.org/6991che si basano sul modello http://www.km4city.org .
Scopo dell'evento di hackathon è identificare nuove applicazioni che possano essere sviluppate sulla base di dati ed elaborazioni messi disposizione dalle smart city API di Sii-Mobility. I Dati sono in tutta la toscana e come dagli scenari http://www.disit.org/6995, sono relativi alla mobilità pubblica e privata, alla partecipazione, alle informazioni geolocalizzate dei punti di interesse, della salute, ambiente, e servizi di suggerimento e di coinvolgimento e assistenza.
Le tematiche affrontate dalle App proposte dovranno essere relative ad aspetti di mobilità, e in particolare ai seguenti 5 temi: Trasporto pubblico; Coinvolgimento dei cittadini, mobilità e turismo, mobilità e servizi, giochi in mobilità.
http://www.sii-mobility.org/index.php/eventi/hackathon-sii-mobility/registrati-all-evento-del-7-mattina
Documentazione e informazioni dalla pagina: http://www.sii-mobility.org/
Scadenza sottomissione delle proposte: 31 marzo 2017.
Premi per 14.000 euro, #hackathon #smartcity API, #bigdata #opendata della #Toscanadigitale #firenze #pisa #arezzo #direfare #forumpa
#hackathon #smartcity #bigdata #opendata #Toscanadigitale #firenze #pisa #arezzo #direfare #forumpa
Smart City API, 14.000 euro di premi, Hackathon
Snap4City November 2019 Course: Smart City API, federation, Web and Mobile Ap...Paolo Nesi
• Smart City API: Internal and External
• Forging and Managing Flexible Mobile Apps, Web Apps and Micro Apps
– Web and Mobile App with Open Development Kit
– Understanding how City User are using the City Services
– Engaging City Users, towards a participated attitude
• Advanced Smart City API, MicroServices, Snap4City API
• Federated Knowledge Base and Smart City API
• Web and Mobile App Development Kit
• Acknowledgement
Big Data Smart City processes and tools, Real Time data processing toolsPaolo Nesi
Big Data Smart City Architecture
Smart-city Ontology
Data Ingestion and Mining
-Data Ingestion Manager
-DataSets already integrated
-Static Data: harvesting
-Data Quality Improvement
-Data mapping to Triples
Distributed and real time processes
-Distributed Scheduler
-Real Time Data Ingestion
-Blog Vigilance, NLP, Text Mining
-Parallel and distributed processing
RDF processing
-RDF Store Indexing
-RDF Store Validation
-Semantic Interoperability, reconciliation
-RDF Store Enrichment, for link discovering
-RDF Store Enrichment, for service discovering via web crawling
Smart City Engine
-Service Level Agreements
-Distributed SPARQL queries
-Decision Support System Processes
Development Interfaces
-Service map: http://servicemap.disit.org
service based on OpenStreetMaps that allows to search services available in a preset range from the selected bus stop.
-Linked Open Graph: http://log.disit.org
a tool developed to allow exploring semantic graph of the relation among the entities. It can be used to access to many different LOD repository.
-Ontology Documentation: http://www.disit.org/6507,
http://www.disit.org/5606, http://www.disit.org/6461
-Data Status Web pages: active
Visual Query Graph: under development
Sii-Mobility
RESOLUTE: Resilience management guidelines and Operationalization applied to ...Paolo Nesi
--Conducting a systematic review and assessment of the state of the art of the Resilience assessment and Management concepts, national guidelines and their implementation strategies in order to develop a conceptual framework for resilience within Urban Transport Systems
--Development of European Resilience Management Guidelines (ERMG)
--Operationalize and validate the ERMG by implementing the RESOLUTE Collaborative Resilience Assessment and Management Support System (CRAMSS) for Urban Transport System (UTS) addressing Roads and Rails Infrastructures
--Enhancing resilience through improved support to human decision making processes, particularly through increased focus on the training of final users (first responders, civil protections, infrastructure managers) and population on ERMG and RESOLUTE system
--ERMG wide dissemination, acceptance and adoption at EU and Associated Countries level
DRS-7-2015 - RIA – start 1/5/2015 - end 30/4/2018 Budget 3.8M
KM4city, Il Valore degli #OpenData: Esperienze a confrontoPaolo Nesi
le città si stanno adeguando alle crescenti necessità cercando di: garantire elevati livelli di qualità della vita, fornire nuovi servizi; limitando i costi, aumento di efficienza; allestire strutture decisionali adeguate; facilitare la creazione di nuovi servizi anche da parte di terzi:
-Pubblicazione Open Data
-Creare i presupposti per un mercato dei dati anche privati ma connessi agli -OpenData
->per una la crescita sostenibile da vari punti di vista
I dati, statici e real time sono stati resi interoperabili tramite algoritmi di data mining che possono essere applicati anche alle vostre problematiche
I dati aggregati ora sono accessibili in modo semplice tramite degli strumenti di sviluppo ed accesso che permettono di abbattere I costi di sviluppo delle applicazioni web e mobili
Service Map:http://servicemap.disit.org
Permette allo sviluppatore di realizzare delle query in modo visuale e farsi mandare il codice di richiesta tramite email.
Questo codice può essere utilizzato in App mobili e web per semplificare la programmazione e realizzare app che non devono essere manutenute quanto il server cambia…
La selezione effettuata può essere richiamata e anche inserita in pagine web di terzi, l’applicazione web è già pronta.
Manteniamo le App Vive, la complessità sta sul server e non sulle App !!
LOG: http://log.disit.org
Permette allo sviluppatore di navigare nelle strutture complesse di uno o più database RDF accessibili per formulare dei grafici e delle query in modo visuale e farsi mandare il codice di richiesta tramite email.
Questo codice può essere utilizzato in App mobili e web per semplificare la programmazione e realizzare app che non devono essere manutenute quanto il server cambia…
Il grafo puo’ essere richiamato e anche inserito in pagine web di terzi, l’applicazione web è già pronta.
Manteniamo le App Vive !!
Km4City: Smart City Model and Tools for City Knowledge ExploitationPaolo Nesi
The proposed presentation is going to expose the integrated solutions around Km4City model which has been set up by the DISIT lab in Florence (http://www.disit.org/6056 ) and adopted in some EC and national smart city projects (Sii-Mobility Smart City MIUR project, RESOLUTE H2020, Km4City service and tools in place in the Florence Area, with many industrial partners as Thales, Swarco, ECM, etc.). The solution is based on Km4City model that is capable to model a large set of the above data kind and provides support for inference and reasoning, on time and space, on public and private data, on static and real time data. In more details, the solution developed is open and accessible for city providing models and tools for its adoption and exploitation, also enabling the full customization. It includes a set of tools:
• Service map: http://servicemap.disit.org is a tool for PA administrators and for developers. For the PA administrators provide access to several kinds of geospatial queries in Florence and in the whole Tuscany region, taking as a results static and real time data, geo-localized. The ServiceMap is also a tool for developers, which can be used to understand the usage of API to access at the Km4City services http://www.disit.org/6597 . The ServiceMap facility allows the visual creation of queries on the city, and may send to the connected user via email the SPARQL code of the visual queries performed, and in addition also a simple Query ID. The Query ID can be used to pose the query without writing it, from any Mobile and Web applications without the needs of learning complex ontological and SPARQL models;
• Linked Open Graph for browsing LOD RDF Stores model including the Km4City Smart City model in Florence and Tuscany and thus for learning how to formulate SPARQL queries http://LOG.disit.org. See for example a view of Florence http://log.disit.org/service/?graph=0f50fffc5bcfc205de5a19b606b61310
• Demonstrative mobile application exploiting ServiceMap API, also presented at the Florence Open Data Day and accessible as open source via: http://www.disit.org/6595 .
• Km4City ontology model and documentation [1], http://smartcity.linkeddata.es/, document http://www.disit.org/5606 , http://www.disit.org/km4city/schema/
• Parallel and distributed architecture based on ETL, scheduler, HBase, Hadoop, for massive big data ingestion (static, quasi static, and real time data), reconciliation, data enrichment (for connecting Km4City URI to dbPedia, geonames, etc. [3]) and for making decision: [1], slide http://www.disit.org/6566 with thousands of accesses on SlideShare. Several examples are accessible about the ETL transformation for data ingestion, quality improvement, conversion in triples, reconciliation in SILK, [1], etc. This engine is also adopted in other Smart City Projects as SMST national cluster.
CINI icitie workshop on smart city and communities, palermo, ottobre 2015
Overview on Smart City, DISIT lab solution for beginners, 2015, Part 7: Distr...Paolo Nesi
• Smart City Concepts
• Architecture of Smart City Infrastructures
• Peripheral processors
– Data collectors and Managers
– Blog Vigilance via Natural Language Processing
– Twitter vigilance
• Data ingestion and mining
– Data Mining and smart City problematic
– Km4City: Smart City Ontology
– RDF production, reconciliation
– Parallel and distributed processing
• Reasoning and Deduction
– Smart City Engine
– Decision Support System
• Data Acting processors
– Smart City Tools and API
– Service Map and Linked Open Graph
– Mobile applications
• Projects
– SmartCity Project Sii-Mobility SCN
– SmartCity Project Coll@bora SIN
– SmartCity Project RESOLUTE H2020
– Mobile Emergency
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...SkillCertProExams
• For a full set of 760+ questions. Go to
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• SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
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• SkillCertPro updates exam questions every 2 weeks.
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• SkillCertPro assures 100% pass guarantee in first attempt.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie Wells
Km4City, Smart City Urban Platform, From Data to Services for the Sentient Cities
1. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
Km4City Smart City Ecosystem, Sept 2016
Km4City
http://www.disit.org/km4city
Paolo Nesi, paolo.nesi@unifi.it
Smart City Ecosystem
2. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org www.Km4City.org
Km4City Smart City Ecosystem, Sept 2016
Technical info on: http://www.disit.org/km4city
3. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
From Data to Services for the Sentient Cities
Open Source and inter‐operable tools to
Km4City Smart City Ecosystem, Sept 2016
1. keep city under control
via personalized
dashboards
2. improve city resilience,
reducing risks and
decision support
3. transform data in value
for the city Km4City Data and Service Aggregator
4. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
From Data to Services for the Sentient Cities
Open Source and inter‐operable tools to
Km4City Smart City Ecosystem, Sept 2016
1. keep city under control
via personalized
dashboards
2. improve city resilience,
reducing risks and
decision support
3. transform data in value
for the city Km4City Data and Service Aggregator
5. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
keep city under control via
personalized dashboards
Km4City Smart City Ecosystem, Sept 2016
• monitoring services’ status
of city operators
• monitoring and
understanding the city
users behaviour
• collecting moods,
contributions and data
from the city users
• monitoring social media
for city services and
events, event predictions
6. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
• monitoring services’ status of city operators
– Smart City Dashboards,
http://dashboard.km4city.org Dashboard Builder
• monitoring and understanding the city
users behaviour
– Recommender and User Behavior Analyzer,
http://recommender.km4city.org
– WiFi monitor, http://wifimap.km4city.org
– Origin Destination matrix tools
http://www.disit.org/6694
• collecting moods, contributions and data
from the city users
– Collecting contributions: images, stars, comments
and Social Media
• monitoring social media for city services
and events, event predictions
• Twitter Vigilance, http://www.disit.org/tv ,
http://tvsolr.disit.org
city under control
7. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
• monitoring services’ status of city operators
– Smart City Dashboards,
http://dashboard.km4city.org Dashboard Builder
• monitoring and understanding the city
users behaviour
– Recommender and User Behavior Analyzer,
http://recommender.km4city.org
– WiFi monitor, http://wifimap.km4city.org
– Origin Destination matrix tools
http://www.disit.org/6694
• collecting moods, contributions and data
from the city users
– Collecting contributions: images, stars, comments
and Social Media
• monitoring social media for city services
and events, event predictions
• Twitter Vigilance, http://www.disit.org/tv ,
http://tvsolr.disit.org
city under control
8. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
Florence:
‐1.5M of citizens,
More than 14M of city users per year
9. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
10. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
Transport
systems,
Mobility, Parking
Sensors, IOT
Cameras, ..
Environment,
Water, energy
Shops,
services,
operators
Social Media,
WiFi, Network
Public services,
Govern, Events
Dashboards
11. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
REPLICATE a Firenze: Energia, ICT e Mobilità
Km4City Smart City Ecosystem, Sept 2016
12. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Smart City Dashboard
Km4City Smart City Ecosystem, Sept 2016
13. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
• monitoring services’ status of city operators
– Smart City Dashboards,
http://dashboard.km4city.org Dashboard Builder
• monitoring and understanding the city
users behaviour
– Recommender and User Behavior Analyzer,
http://recommender.km4city.org
– WiFi monitor, http://wifimap.km4city.org
– Origin Destination matrix tools
http://www.disit.org/6694
• collecting moods, contributions and data
from the city users
– Collecting contributions: images, stars, comments
and Social Media
• monitoring social media for city services
and events, event predictions
• Twitter Vigilance, http://www.disit.org/tv ,
http://tvsolr.disit.org
city under control
14. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Recommender and User Behavior Analyzer
Km4City Smart City Ecosystem, Sept 2016
15. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
User Behavior Analyzer
16. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
User Behavior Analyzer
17. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
Duomo
Piazza
Signoria
Duomo
Uffizi
Stazione vs Santa
Maria Novella
Piazza della
repubblica
User Behavior Analyzer
18. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
User Behavior
Analyzer
19. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
User Behavior Analyzer
20. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
WiFi Monitor tool
21. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
Traffic and People Flow Assessment
• Origin Destination Matrix
– Specific Sensors, vehicle
Kits, mobile App, Wi‐Fi
Access Points, etc.
• Assess people and traffic
flows to
– improve services
– predict critical conditions
on Crit. Infra.
– take real time decisions
and sending messages in
push to population
– Increase city resilience
– optimize traffic flow
– take decision of routing
22. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
• monitoring services’ status of city operators
– Smart City Dashboards,
http://dashboard.km4city.org Dashboard Builder
• monitoring and understanding the city
users behaviour
– Recommender and User Behavior Analyzer,
http://recommender.km4city.org
– WiFi monitor, http://wifimap.km4city.org
– Origin Destination matrix tools
http://www.disit.org/6694
• collecting moods, contributions and data
from the city users
– Collecting contributions: images, stars, comments
and Social Media
• monitoring social media for city services
and events, event predictions
• Twitter Vigilance, http://www.disit.org/tv ,
http://tvsolr.disit.org
city under control
23. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
WEB APPLICATION
http://www.km4city.org
Get
Suggestions
on demand
Geo Located
Services Get Social Media Monitoring Info
Mobile APPLICATION
Twitter Vigilance
http://www.disit.org/tv
http://tvsolr.disit.org
Km4City Smart City Ecosystem, Sept 2016
24. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4CitySave Crowd Sourcing Media,
votes, comments, status, …
Save User Profiles
Collecting contributions
from city users
25. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
• monitoring services’ status of city operators
– Smart City Dashboards,
http://dashboard.km4city.org Dashboard Builder
• monitoring and understanding the city
users behaviour
– Recommender and User Behavior Analyzer,
http://recommender.km4city.org
– WiFi monitor, http://wifimap.km4city.org
– Origin Destination matrix tools
http://www.disit.org/6694
• collecting moods, contributions and data
from the city users
– Collecting contributions: images, stars, comments
and Social Media
• monitoring social media for city services
and events, event predictions
• Twitter Vigilance, http://www.disit.org/tv ,
http://tvsolr.disit.org
city under control
26. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
All Channels (private information)
Km4City Smart City Ecosystem, Sept 2016
1) General view with top
explosive events on
commenting tv Serials
2) This is what there in the ground when
the top explosive events are hidden
27. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Twitter Vigilance
• http://www.disit.org/tv
• Citizens as sensors to
– Assess sentiment on
services, events, …
– Response of consumers
wrt…
– Early detection of critical
conditions
– Information channel
– Opinion leaders
– Communities
– Formation
– Predicting volume of
visitors for tuning the
services
Km4City Smart City Ecosystem, Sept 2016
28. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Full text and Faceted Search
Facility of Twitter Vigilance db
Km4City Smart City Ecosystem, Sept 2016
Twitter Vigilance >> Millions of tweets per day
29. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org Twitter Vigilance
Km4City Smart City Ecosystem, Sept 2016
Twitter Vigilance on EXPO2015 channel
30. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org Twitter Vigilance
Km4City Smart City Ecosystem, Sept 2016
Sentiment Analysis on #EXPO2015 search
31. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org Twitter Vigilance
Km4City Smart City Ecosystem, Sept 2016
Sentiment Analysis on #EXPO2015 search
32. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Twitter Vigilance
monitoring and predictions
Km4City Smart City Ecosystem, Sept 2016
Twitter Vigilance on EXPO2015 channel
Predizioni al 90%
Predicting volume of visitors for tuning the services
33. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Twitter Vigilance and Hot Trends
Km4City Smart City Ecosystem, Sept 2016
34. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
From Data to Services for the Sentient Cities
Open Source and inter‐operable tools to
Km4City Smart City Ecosystem, Sept 2016
1. keep city under control
via personalized
dashboards
2. improve city resilience,
reducing risks and
decision support
3. transform data in value
for the city Km4City Data and Service Aggregator
35. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Improve city resilience,
reducing risks and
decision support
Km4City Smart City Ecosystem, Sept 2016
• assessing city resilience
level
• improving city resilience,
providing objective hints
• improving city users
awareness with personal
city assistants and
participatory tools
36. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Improve city resilience
Km4City Smart City Ecosystem, Sept 2016
• assessing city resilience level
– Resilience Decision Support,
http://resilienceds.km4city.org
– Smart decision support system,
http://smartds.km4city.org
• improving city resilience,
providing objective hints
– Resilience Decision Support
implementing European Resilience
Management Guidelines (ERMG) http://www.resolute‐eu.org
• improving city users awareness with personal city
assistants and participatory tools
– Dashboard: http://dashboard.km4city.org
– Km4City Web App http://www.km4city.org
– Km4City Mobile App: http://www.km4city.org/app
37. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Improve city resilience
Km4City Smart City Ecosystem, Sept 2016
• assessing city resilience level
– Resilience Decision Support,
http://resilienceds.km4city.org
– Smart decision support system,
http://smartds.km4city.org
• improving city resilience,
providing objective hints
– Resilience Decision Support
implementing European Resilience
Management Guidelines (ERMG) http://www.resolute‐eu.org
• improving city users awareness with personal city
assistants and participatory tools
– Dashboard: http://dashboard.km4city.org
– Km4City Web App http://www.km4city.org
– Km4City Mobile App: http://www.km4city.org/app
38. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Dashboarding city resilience
39. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
• Smart Decision Support
System based on
System Thinking plus
• Actions to city reaction,
resilience, smartness..
Enforcing
• Mathematical model for
propagation of decision
confidence..
• Collaborative work…,
• Processes connected to
city data: DB, RDF Store,
Twitter, etc.
• Production of
alerts/alarms
• Data analytics process
• Twitter Processes
• reuse, copy past, …
Km4City Smart City Ecosystem, Sept 2016
Smart Decision Support
40. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Improve city resilience
Km4City Smart City Ecosystem, Sept 2016
• assessing city resilience level
– Resilience Decision Support,
http://resilienceds.km4city.org
– Smart decision support system,
http://smartds.km4city.org
• improving city resilience,
providing objective hints
– Resilience Decision Support
implementing European Resilience
Management Guidelines (ERMG) http://www.resolute‐eu.org
• improving city users awareness with personal city
assistants and participatory tools
– Dashboard: http://dashboard.km4city.org
– Km4City Web App http://www.km4city.org
– Km4City Mobile App: http://www.km4city.org/app
41. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
City Resilience
Km4City Smart City Ecosystem, Sept 2016
Prepare
Absorb
Recover
Adapt
42. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
City Resilience ERMG
30 years probability Arno flooding200 years probability Arno flooding
Water bomb in South FlorenceArno Flood Impact on Tram Line & Traffic
43. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Twitter Vigilance and Water Bomb
Km4City Smart City Ecosystem, Sept 2016
44. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Mobile Emergency
Km4City Smart City Ecosystem, Sept 2016
• Personalized menu for
Operators
• Providing information
and suggestions to
citizens
– Civil Protection Page
– Twitter Info
– Geolocalized Info
• Tracking people and
operators flows
• Collecting information
from citizens
– Comments
– Images
45. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Mobile Emergency
• Integrated
outdoor and
indoor
navigation
• Reducing
time of
intervention
• Improving
efficacy
Km4City Smart City Ecosystem, Sept 2016
46. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Improve city resilience
Km4City Smart City Ecosystem, Sept 2016
• assessing city resilience level
– Resilience Decision Support,
http://resilienceds.km4city.org
– Smart decision support system,
http://smartds.km4city.org
• improving city resilience,
providing objective hints
– Resilience Decision Support
implementing European Resilience
Management Guidelines (ERMG) http://www.resolute‐eu.org
• improving city users awareness with personal city
assistants and participatory tools
– Dashboard: http://dashboard.km4city.org
– Km4City Web App http://www.km4city.org
– Km4City Mobile App: http://www.km4city.org/app
47. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4CityMobile App
Km4City Smart City Ecosystem, Sept 2016
http://www.km4city.org
web application
48. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4CityMobile App
Features:
• Menu Access to: services, events, real time information, mobility,
health, civic information, financial, energy, environment,
– Mobility: bus stops/delay, parking, cycling, ticketing, sensors, ..
– Tourism: cultural locations, real time events, ..
– Environment: weather, civil protection…
– Commercial and services: more than 500 categories
• Personalized Suggestions per user categories
– Civil and Gov: twitter Civil Channels, Civil Protection, etc.
– Services: Mobility, Tourism, Commercial, etc.
• Personalized Menu per category, and on User Behavior
• Providing proximity information, full text search
• Tracking user behavior, monitoring WiFi
• Participation: images, comments, scores, connecting with social media
share
• Modality: search, proximity, navigation
Km4City Smart City Ecosystem, Sept 2016
49. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
Firenze where, what.. Km4City
Km4CityMobile App
50. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Web App
Km4City Smart City Ecosystem, Sept 2016
51. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
From Data to Services for the Sentient Cities
Open Source and inter‐operable tools to
Km4City Smart City Ecosystem, Sept 2016
1. keep city under control
via personalized
dashboards
2. improve city resilience,
reducing risks and
decision support
3. transform data to
value for the city Km4City Data and Service Aggregator
52. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Transform data to value for the city
Km4City Smart City Ecosystem, Sept 2016
• enabling commercial and
business applications
• aggregating multi‐
domain data and services
for SMEs and city
operators
• enabling integrated city
services into third party
web portal for all
• providing suggestion on
demand services for
SMEs and city operators
• accelerating and
simplifying the
implementation of
business and service
oriented Apps
Transport
systems,
Mobility,
Parking
Sensors,
IOT
Cameras, ..
Environme
nt,
Water,
energy
Shops,
services,
operators
Social
Media,
WiFi,
Network
Km4City Data and Service Aggregator
Public
services,
Govern,
Events
53. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Data to value
Km4City Smart City Ecosystem, Sept 2016
Realizing an Urban Ecosystem
• enabling commercial and business applications
decision support access
– data aggregation and access Smart City API
• aggregating multi‐domain data and services for SMEs and city operators
– Data /Service Aggregator: open, flexible and suitable access
Seeding Solutions for the Urban Ecosystem
• integrated data and services, accessible as on demand basis
– providing services for third party portals and Apps: geo‐localized data and
services, info, suggestions
• suggestion on demand service for SMEs and city operators
Suggestion On Demand see above
• development tool for fast and low cost implementation of business and
service oriented Apps
– Smart City API
54. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Data to value
Km4City Smart City Ecosystem, Sept 2016
Realizing an Urban Ecosystem
• enabling commercial and business applications
decision support access
– data aggregation and access Smart City API
• aggregating multi‐domain data and services for SMEs and city operators
– Data /Service Aggregator: open, flexible and suitable access
Seeding Solutions for the Urban Ecosystem
• integrated data and services, accessible as on demand basis
– providing services for third party portals and Apps: geo‐localized data and
services, info, suggestions
• suggestion on demand service for SMEs and city operators
Suggestion On Demand see above
• development tool for fast and low cost implementation of business and
service oriented Apps
– Smart City API
55. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Enabling commercial and business applications
Km4City Smart City Ecosystem, Sept 2016
• Stakeholders needs to:
– Set city trends alerts in
advance
– Make decision on the basis of
Ordinances, Civil works,
touristic movements, new
services and commercial
offers, local and national
events, etc.
– Exploit: statistical data, open
data, real time data, social
media data, traffic and people
flows, chamber of commerce
data, ...
– Get reporting about city
evolution and trends
56. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Data to value
Km4City Smart City Ecosystem, Sept 2016
Realizing an Urban Ecosystem
• enabling commercial and business applications
decision support access
– data aggregation and access Smart City API
• aggregating multi‐domain data and services for SMEs and city operators
– Data /Service Aggregator: open, flexible and suitable access
Seeding Solutions for the Urban Ecosystem
• integrated data and services, accessible as on demand basis
– providing services for third party portals and Apps: geo‐localized data and
services, info, suggestions
• suggestion on demand service for SMEs and city operators
Suggestion On Demand see above
• development tool for fast and low cost implementation of business and
service oriented Apps
– Smart City API
57. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Engine
Transport systems
Mobility, parking
Smart Decision Support
Http://Smartds.km4city.org
Twitter Vigilance
Http://www.disit.org/tv
ServiceMap browser
Http://servicemap.km4city.org
Smart City Dashboard
Http://dashboard.km4city.org/
dash
Km4City Smart City API
Mobile e Web Apps
Public Services
Govern, events,
…
Sensors, IOT
Cameras, ..
Environment,
Water, energy
Social Media
WiFi, network
DISCES ‐‐Distributed and parallel architecture on Cloud
Shops, services,
operators
Http://www.km4city.org/webapp
Km4City
Tools for Final Users
Tools for City Operators and Decision Makers
Analyzers of City User Behavior
Http://www.km4city.org/app
Big Data Analytics
Smartening Tools
Development Tools
Recommender
Personal Assistant
Http://www.km4city.org
58. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Engine
Transport systems
Mobility, parking
Km4City
LD RDF Store
Big Data Analytics
Km4City Smart City API
Public Services
Govern, events,
…
Sensors, IOT
Cameras, ..
Environment,
Water, energy
Social Media
WiFi, network
DISCES ‐‐Distributed and parallel architecture on Cloud
Shops, services,
operators
Km4City
Ontology
Development Tools
ServiceMap developer kit
Http://servicemap.km4city.org
Recommender On
Demand Engine
Personal Assistant On
Demand Engine
Dashboard Builder & Manager
Http://servicemap.km4city.org
Smartening Tools
Tools for City Operators and
Decision Makers
Mobile e Web Apps
Tools for
Final Users
Http://www.km4city.org/app
Http://www.km4city.org
59. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Data Aggregation
• Only Data Aggregation with semantic support
may provide reasoning services on integrated
data
Km4City Smart City Ecosystem, Sept 2016
60. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Major Requirements Smart City API
• Search: text, geo/point, time, line, polyline, near…
• Specific Domain Support: mobility, energy,
environment, commercial, POI, edu, gov, etc.
• User Participation and Awareness
• Personal Assistant, suggestion on demand, pushing,
..
• Smart City Interoperability and Dash Board
• Multilevel API modes: SPARQL, REST, Query ID
• Enabled Inference and Ontology
Km4City Smart City Ecosystem, Sept 2016
61. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Ontology
>84 Classes
>100 ObjectProperties
>100 DataProperties
Ontology Documentation:
http://www.disit.org/6506
http://www.disit.org/6507
http://www.disit.org/5606
http://www.disit.org/6461
• different aspects:
– Street‐Guide
– Mobility and transport
– Points of interest
– Sensors, IOT, ..
– Energy
– Administration
– Citations from strings
– ..
– Temporal reasoning
– Metadata on the data
– Statistics
– Risk and Resilience
– Licensing
– Open and Private Data
– Static and Real time
– ..
Km4City Smart City Ecosystem, Sept 2016
62. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Data to value
Km4City Smart City Ecosystem, Sept 2016
Realizing an Urban Ecosystem
• enabling commercial and business applications
decision support access
– data aggregation and access Smart City API
• aggregating multi‐domain data and services for SMEs and city operators
– Data /Service Aggregator: open, flexible and suitable access
Seeding Solutions for the Urban Ecosystem
• integrated data and services, accessible as on demand basis
– providing services for third party portals and Apps: geo‐localized data and
services, info, suggestions
• suggestion on demand service for SMEs and city operators
Suggestion On Demand see above
• development tool for fast and low cost implementation of business and
service oriented Apps
– Smart City API
63. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Suggestion on
demand service
Km4City Smart City Ecosystem, Sept 2016
• Personalized menu on the
basis of User Category
• Automated Suggestions
personalized per person:
– taking into account user
profile and behavior,
dislikes, requests, queries,
etc.
• Engagement
– Work is in progress
• Advertising
– Work is in progress
64. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Data to value
Km4City Smart City Ecosystem, Sept 2016
Realizing an Urban Ecosystem
• enabling commercial and business applications
decision support access
– data aggregation and access Smart City API
• aggregating multi‐domain data and services for SMEs and city operators
– Data /Service Aggregator: open, flexible and suitable access
Seeding Solutions for the Urban Ecosystem
• integrated data and services, accessible as on demand basis
– providing services for third party portals and Apps: geo‐localized data and
services, info, suggestions
• suggestion on demand service for SMEs and city operators
Suggestion On Demand see above
• development tool for fast and low cost implementation of business and
service oriented Apps
– Smart City API
65. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Smart City EcoSystem
• Decision Makers, Public administrator tools:
Smart City Dashboards, http://dashboard.km4city.org Dashboard Builder
Resilience Decision Support, http://resilienceds.km4city.org
Smart decision support system, http://smartds.km4city.org
Twitter Vigilance, http://www.disit.org/tv
Recommender and User Behavior Analyzer, http://recommender.km4city.org
WiFi monitor, http://wifimap.km4city.org
ServiceMap Server, http://servicemap.km4city.org
Traffic and People Flow Assessment http://www.disit.org/6694
• Final Users tools:
Km4City mobile applications, http://www.km4city.org/app
Km4City web application, http://www.km4city.org
– Open Source Mobile Application, FODD http://www.disit.org/6595
• Developers tools: http://www.disit.org/km4city
– ServiceMap Server, plus API, http://servicemap.km4city.org
Smart City API , http://www.disit.org/6597
Km4City Ontology, http://www.disit.org/km4city
– SPARQL query tool and licenser, http://log.disit.org/sparql_query_frontend/
– LOG LOD browser, http://log.disit.org
• Back Office tools:
– Data Ingestion Manager, DIM, http://www.disit.org/6732
– Distributed Smart City Engine, SCE, Scheduler, DISCES http://www.disit.org/6515
– RDF Indexer Manager, RIM, http://www.disit.org/6708
– RDF store enricher with dbPedia
• Adopted on projects and real scenarios
– Sii‐Mobility SCN MIUR, http://www.sii‐mobility.org
– RESOLUTE H2020, http://www.resolute‐eu.org
– REPLICATE H2020, http://www.zabala.co.uk/en/projects/replicate
Km4City Smart City Ecosystem, Sept 2016
66. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Service Map Dev Tool
http://www.disit.org/km4city
• ServiceMap Server, plus API,
http://servicemap.km4city.org
Smart City API,
http://www.disit.org/6597
Km4City Ontology,
http://www.disit.org/km4city
• SPARQL query tool and
licenser,
http://log.disit.org/sparql_que
ry_frontend/
• LOG LOD browser,
http://log.disit.org
Km4City Smart City Ecosystem, Sept 2016
67. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City on Firenze & Tuscany
Km4City Smart City Ecosystem, Sept 2016
Road Graph (Tuscany region)
132,923 Roads
389,711 Road Elements
318,160 Road Nodes
1,508,207 Street Numbers
110,374 Services (20 cat, 512 cat.)
2,326 Bus stops & 86 bus lines
210 Parking areas
424 Traffic Sensors
Info on: points, paths, areas, etc.
Dynamic/real‐time
• bus lines: 200 updates/day per line
• Parking status: 36 updates/day
• Traffic Sensors: 48 updates/day
• Weather: 2 updates/day for 285 areas
• Events: 60 new events/day
• Wi‐Fi: 250,000 measures per day
68. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Selection of Transport fracilities
Km4City Smart City Ecosystem, Sept 2016
Florence
69. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
APIs: Service Search & Mobility
Full text
Search, for
Region &
municipality
ServiceMap
http://servicemap.disit.org
Km4City Smart City Ecosystem, Sept 2016
70. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
2nd IEEE International Conference on Smart Computing ‐ St. Louis, Missouri, US | May 18‐20, 2016
ServiceMap
Search
along a line
Search for
Geo Located
Services
Search around
a GPS point
Search in
an area Get Real Time data
(public busses, car parks,
sensors, traffic flows)
Get
weather
forecast
Get Events
in the city
Km4City Smart City Ecosystem, Sept 2016
71. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org ServiceMap
Km4City Smart City Ecosystem, Sept 2016
72. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
ServiceMap
73. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4city ServiceMap Km4City API
• http://www.disit.org
/6597
– REST API: serviceURI
or Selection or GPS
– REST API: Query ID
– Receive an email
– Get a JSON, HTML, …
• EMBED facility in
third party web
pages
Km4City Smart City Ecosystem, Sept 2016
74. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
APIs: Kind of Call, Non functionalhttp://servicemap.disit.org/WebAppGrafo/api/v1/?queryId=9e5
662a352d90ad4bc77690277a371ab&format=html
http://servicemap.disit.org/
WebAppGrafo/sparql?query=
…&format=JSON
http://servicemap.disit.org/WebAppGrafo/sparql?query=…
Query ID
SPARQL on
Virtuoso
http://log.disit.org/spqlquery
SPARQL
Km4City Smart City Ecosystem, Sept 2016
75. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Smart City EcoSystem
• Decision Makers, Public administrator tools
– …
• Final Users tools
– …
• Developers tools: http://www.disit.org/km4city
ServiceMap Server, plus API, http://servicemap.km4city.org
Smart City API , http://www.disit.org/6597
Km4City Ontology, http://www.disit.org/km4city
SPARQL query tool and licenser,
http://log.disit.org/sparql_query_frontend/
LOG LOD browser, http://log.disit.org
• Back Office tools:
– Data Ingestion Manager, DIM, http://www.disit.org/6732
– Distributed Smart City Engine, SCE, Scheduler, DISCES
http://www.disit.org/6515
– RDF Indexer Manager, RIM, http://www.disit.org/6708
– RDF store enricher with dbPedia
• Adopted on projects and real scenarios
– Sii‐Mobility SCN MIUR, http://www.sii‐mobility.org
– RESOLUTE H2020, http://www.resolute‐eu.org
– REPLICATE H2020,
http://www.zabala.co.uk/en/projects/replicate
Km4City Smart City Ecosystem, Sept 2016
http://www.disit.org/km4city
See technical tools on
76. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Scenarios and adoptions
• Adopted by Florence Smart City
• As Data Aggregator ICT engine
• As Dashboard
• As Mobile App
• Adopted in running projects
– Sii‐Mobility Smart City National, 13.5 Meuro
– RESOLUTE H2020 DRS7 project of the EC, 3.8 Meuro
– REPLICATE H2020 SCC1 project of the EC, 29 Meuro
– …..
Km4City Smart City Ecosystem, Sept 2016
77. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Projects based on KM4City
• Sii‐Mobility, http://www.sii‐mobility.org
• Resolute, http://www.resolute‐eu.org
• Replicate, http://www.disit.org/6778
Km4City Smart City Ecosystem, Sept 2016
78. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
• Experimentations and validation in Tuscany
• Integration with present central station and subsystems
• DISIT lab, Università di Firenze, is the tech-scientific coordinator
Sii‐Mobility
Km4City Smart City Ecosystem, Sept 2016
http://www.Sii-Mobility.org
ECM; Swarco Mizar;
Inventi In20; Geoin;
QuestIT; Softec;
T.I.M.E.; LiberoLogico;
MIDRA (autostrade,
motorola); ATAF;
Tiemme; CTT Nord;
BUSITALIA; A.T.A.M.;
Effective Knowledge;
eWings; Argos
Engineering; Elfi;
Calamai & Agresti;
Project; Negentis
79. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
Sii‐Mobility
80. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Obiettivi Generali (sintesi)
• ridurre i costi sociali della mobilità
per le persone
– consentendo minori disagi, maggiore
efficienza,
– maggiore sensibilità verso le
necessità del cittadino,
– minori emissioni, migliori condizioni
ambientali;
– percorsi info‐formativi in modo che il
cittadino cambi le abitudini non
virtuose;
– ridurre i costi di trasporto ed i tempi
di percorrenza per gli utenti, per i
gestori e le amministrazioni, tramite
soluzioni di ottimizzazione.
Km4City Smart City Ecosystem, Sept 2016
• semplificare l’uso dei sistemi di
mobilità
– sensori innovativi per AVM e mezzi
privati sul territorio
– Sistemi integrati di pagamento e di
identificazione
– soluzioni di guida/percorso connesso
(connect drive, smart drive o walk)
– Integrazione di dati provenienti da
gestori e sorgenti di tipo diverso
– Gestione avanzata di mezzi
– misurazione di flussi
– realizzazione di sensori, attuatori
• Sperimentazione su comuni e province della Toscana
• Contribuire al miglioramento degli standard nazionali ed internazionali
81. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
• Develop European Resilience Management
Guidelines (ERMG)
– Develop a conceptual framework for creating/
maintaining Urban Transport Systems
• Enhance resilience through improved support of
human decision making processes, particularly by
training professionals and civil users on the ERMG
and the RESOLUTE system
• Operationalize and validate the ERMG by
implementing the RESOLUTE Collaborative
Resilience Assessment and Management Support
Systems (CRAMSS) for Urban Transport Systems
addressing Road and Urban Rail Infrastructures
– Pilots in Florence and Athens
• Adoption of the ERMG at EU and Associated
Countries level
Km4City Smart City Ecosystem, Sept 2016
http://www.resolute‐eu.org
University of Florence:
DISIT lab DINFO (Proj
coordinator), DISIA and DST
UNIFI IT
THALES THALES IT
ATTIKOMetro ATTIKO GR
Comune di Firenze CDF IT
Centre for Research and
Technology Hellas
CERTH GR
Fraunhofer‐Gesellschaft zur
Förderung der angewandten
Forschung e.V.
FHG DE
HUMANIST
HUMANIS
T
FR
SWARCO Mizar SWMIZ IT
Associação para o
Desenvolvimento da
Investigação no Instituto
Superior de Gestão
ADI‐ISG PT
Consorzio Milano Ricerche CMR IT
82. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
RESOLUTE
Architecture
Km4City Smart City Ecosystem, Sept 2016
Presentation&
Visualization
FRAM
operalization
Decision
support
system
Data
acquisition
RESOLUTE RESILIENCE Dashboard
FRAM ResilienceDS
Evacuation
DSS
ITS DSS
Data
aggregation
Smart DS
CRAMSS
Algoritms and modelsApplication
framework
RESOLUTE
Mobile APPs
Integration
framework
User
guidance
User profiler
User Profiler APIs
Data Integration APIs
UTSTwitter …
Smart City Data Application (Km4City)
Smart City
Data
Data and Service Aggregator
83. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
FRAM view
Km4City Smart City Ecosystem, Sept 2016
84. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
• demonstrate Smart City technologies in energy,
transport and ICT in districts in:
– San Sebastian, Florence and Bristol,
– follower cities of Essen, Nilufer and Lausanne
• Cities are the customer: considering local
specificities
• Solutions must be replicable, interoperable and
scalable.
– Integrated Infrastructure: deployment of ICT
architecture, from internet of things to
applications
– Low energy districts
– Urban mobility: sustainable and smart urban
services
1 (coordinator) FOMENTO DE SAN SEBASTIAN FSS SPAIN
2 AYUNTAMIENTO DE SAN SEBASTIAN SAN SEBASTIAN SPAIN
3 COMUNE DI FLORENCE FLORENCE ITALY
4 BRISTOL COUNCIL BRISTOL UNITED KINGDOM
5 STADT ESSEN ESSEN GERMANY
6 NILUFER BELEDIYESI NILUFER TURKEY
7 VILLE DE LAUSANNE LAUSANNE SWITZERLAND
8 IKUSI ANGEL IGLESIAS, S.A. IKUSI SPAIN
9 ENDESA ENERGÍA, S.A. ENDESA SPAIN
10 EUROHELP CONSULTING, S.L. EUROHELP SPAIN
11 ILUMINACION INTELIGENTE LUIX, S.L. LUIX SPAIN
12 FUNDACION TECNALIA RESEARCH & INNOVATION TECNALIA
SPAIN
13 EUSKALTEL, S.A. EUSKALTEL SPAIN
14 COMPAÑÍA DEL TRANVÍA DE SAN SEBASTIÁN DBUS SPAIN
15 CONSIGLIO NAZIONALE DELLE RICERCHE CNR ITALY
16 ENEL DISTRIBUZIONE, SPA ENEL ITALY
17 MATHEMA, SRL MATHEMA ITALY
18 SPES CONSULTING SPES ITALY
19 TELECOM ITALIA, SPA TELECOM ITALY
20 UNIVERSITA DEGLI STUDI DI FLORENCE UNIFI ITALY:
DINFO.DISIT, DIEF
21 THALES ITALIA, SPA THALES ITALY
22 ZABALA INNOVATION CONSULTING ZABALA SPAIN
23 TECHNOMAR TECHNOMAR GERMANY
24 UNIVERSITY OF BRISTOL UOB UNITED KINGDOM
25 UNIVERSITY OF OXFORD UOXF UNITED KINGDOM
26 BRISTOL IS OPEN, LTD BIO UNITED KINGDOM
27 ZEETTA NETWORKS ZEETTA UNITED KINGDOM
28 KNOWLE WEST MEDIA CENTRE, LGB KWMC UNITED KINGDOM
29 TOSHIBA RESEARCH EUROPE, LTD TREL UNITED KINGDOM
30 ROUTE MONKEY, LTD ROUTE MONKEY UNITED KINGDOM
31 ESOTERIX SYSTMES, LTD ESOTERIX UNITED KINGDOM
32 NEC LABORATORIES EUROPE, LTD NEC UNITED KINGDOM
33 COMMONWHEELS CAR CLUB CIC CO-WHEELS UNITED
KINGDOM
34 UNIVERSITY OF THE WEST OF ENGLAND UWE UNITED
KINGDOM
35 ESADE BUSINESS SCHOOL ESADE SPAIN
36 SISTELEC SOLUCIONES DE TELECOMUNICACION, S.L.
SISTELEC SPAIN
85. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
REPLICATE a Firenze: Energia, ICT e Mobilità
Km4City Smart City Ecosystem, Sept 2016
86. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org www.Km4City.org
Km4City Smart City Ecosystem, Sept 2016
Technical info on: http://www.disit.org/km4city
87. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
km4City Roadmap
Km4City Smart City Ecosystem, Sept 2016
88. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City International Actions
• Smart City Expo, Barcelona, Spain, 2016
• Smart City for a Better World, 2016
• IEEE Smart City Conference, Trento, September 2016
• seminar at European Commission, June 2016
• ICT2016, Bratislava
• Harmonise Smart City Week Genova, Italy, 2016
• IEEE SmartComp, USA, 2016
• DMS 2016, Salerno
• iCities 2016, Benevento
• Modena Open Data Day, 2016
• MajorCities 2016
• DMS2015 for RIM, Vancouver, Canada, Aug. 2015
• Cognitive Systems Institute Group Speaker Series, IBM, 2015
• SMAU 2015
• European Data Forum 2015, Luxembourg, 2015
• Smart City 360, Bratislava, Slovenia, 2015
• Semantic Challenge: Bethlem, USA, October 2015
• Smart City Expo, Barcelona, Spain, 2015
• i‐Cities, Palermo, Italy, 2015
• Smart City and Big Data, Italy, Nov. 2015
• IEEE Smart City, Cina, December 2015
• ....
• …
Km4City Smart City Ecosystem, Sept 2016
All accessible from
Http://www.disit.org
89. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Video
Km4City Smart City Ecosystem, Sept 2016
• Video of Km4City App on stores:
– http://www.disit.org/6862
• Overview Km4City Tools 2015
– http://www.disit.org/6816
• Video of Smart City Big Data event, 2015
– http://www.disit.org/6834
• Replicate H2020 Video
– http://www.disit.org/6826
90. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
http://www.disit.org
Km4City Smart City Ecosystem, Sept 2016
Km4City
http://www.disit.org/km4city
Paolo Nesi, paolo.nesi@unifi.it
Smart City Ecosystem