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: 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
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.
The document describes the DISIT Lab and its work on smart city projects using big data and analytics to provide services for cities using an open data platform and API called Km4City that integrates data from various sources including IoT sensors, open data, social media, and more to power applications for transportation, environment, health and other domains to improve city operations and services for residents.
Km4city: Open Urban Platform for a Sentient Smart CityPaolo Nesi
1) Km4City is an open urban platform that aggregates data from IoT sensors and city services to create a smart city ecosystem.
2) The platform includes tools for real-time monitoring, data analytics, influencing citizen behavior, and transforming data into new smart city services.
3) Example tools include smart city dashboards, predictive models, mobile apps, and Twitter analysis to gain citizen input and assess sentiment.
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
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.
Km4City, Smart City Urban Platform, From Data to Services for the Sentient Ci...Paolo Nesi
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.
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
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.
The document describes the DISIT Lab and its work on smart city projects using big data and analytics to provide services for cities using an open data platform and API called Km4City that integrates data from various sources including IoT sensors, open data, social media, and more to power applications for transportation, environment, health and other domains to improve city operations and services for residents.
Km4city: Open Urban Platform for a Sentient Smart CityPaolo Nesi
1) Km4City is an open urban platform that aggregates data from IoT sensors and city services to create a smart city ecosystem.
2) The platform includes tools for real-time monitoring, data analytics, influencing citizen behavior, and transforming data into new smart city services.
3) Example tools include smart city dashboards, predictive models, mobile apps, and Twitter analysis to gain citizen input and assess sentiment.
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
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.
Km4City, Smart City Urban Platform, From Data to Services for the Sentient Ci...Paolo Nesi
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.
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
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
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 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
Open Data Day 2016, Km4City, L’universita’ come aggregatore di Open Data del ...Paolo Nesi
Open Data Day, UNIMORE, Modena, 5 Marzo 2016.
Aggregazione dati, experienza di Firenze,
Smart City, Km4City,
Smart Decision Support,
Data Ingestion manager,
Data aggregation,
User profiling on demand.
Mobilità: inter-modalità, bigliettazione integrata, sostenibile, scambiatori, sfruttamento stazioni, etc.,
Servizi: gov ..SUAP, edu, turismo, beni culturali, salute, etc.,
Energia: risparmio energetico, riduzione amissioni, inquinamento, etc.,
Ambiente: qualità dell’aria, fiumi, meteo, rifiuti, etc.,
… commercio, industria, etc.
... Infrastrutture critiche. resilienza
Collezionamento dati statici, quasi statici e real time, stream
Dati open: geo localizzati, servizi, statistiche, censimenti, etc.
Dati privati degli operatori: con licenze limitate per non permettere di fare profitto ad altri operatori sulla base dei loro dati
Dati personali delle persone: profili, comportamenti tramite APP, IOT, sensori, web, etc.
Integrazione dati per renderli semanticamente interoperabili, ed operare deduzioni (time, space… )
I tradizionali collettori di open data danno visioni statistiche ma non sono adatti a produrre servizi integrati
Integrazione con modelli semantici unificanti come Km4City
Control Room delle Città Metropolitane devono:
arrivare a supervisionare domini multipli e le interdipendenze fra mobilità, energia, comunicazione, servizi, flussi traffico, flussi pedonali, turismo, etc.
Migliorare la loro Resilienza, capacità di reazione ed assorbimento
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: A reusable example of a Metropolitan-Wide Data Platform, MAJORCITIES...Paolo Nesi
This document describes Km4City, an open source smart city platform developed by DISIT Lab. It consists of tools to 1) keep cities under control via personalized dashboards, 2) improve city resilience through risk reduction and decision support, and 3) transform data into value for cities. The platform integrates data from various city systems and sensors to power applications for operators, decision makers, and citizens. It has been implemented in Florence and Tuscany to support projects like Sii-Mobility.
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
The document discusses how cities can learn from data to improve services. It outlines Barcelona's evolution with ICT from 1985 to present. Corporate data quality is key, and poor quality data can negatively impact services. External data from sensors, citizens, and other sources can complement or replace poor internal data. Collaborative data that combines internal and external sources along with open innovation can help transform public services. The Barcelona Open Challenge crowdsources solutions to city challenges through an open process.
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
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
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
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 !!
Dublin Region Innovation Network & Open Data Portal; Environment dubmeetDublinked .
The document discusses supporting data-driven innovation in the Dublin Region through opening government data and building an innovation network. It outlines Dublin's strengths as a tech hub and plans to capitalize on this through collaborating across sectors. This includes developing a smart city vision, releasing over 300 datasets, and hosting events to connect entrepreneurs with problems to solve using open data. The open data portal has seen success but challenges remain around changing culture, security, and developing new business models around data. The vision is for Dublin to become a leader in using data and prototypes to develop urban solutions.
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.
The document discusses Lombardy's strategy to promote openness and digital relationships through an API-driven approach. It aims to foster growth of digital ecosystems and leverage the region's digital transformation by opening its information systems. This includes publishing over 3,300 public datasets and 250 maps through APIs on open data and geo portals. A key initiative is the E015 digital ecosystem, a public-private community of over 600 participants that has developed over 160 APIs and 80 applications to support new digital relationships. Future plans include expanding API governance, management and promotion.
The document discusses open data and its impacts. It notes that open data must be freely accessible, in reusable formats, and under an open license. Open data can impact politics, society, and the economy by enabling open innovation and business opportunities. Implementing an open data policy faces challenges regarding policy, regulation, capacity, and technology. The Open Data Charter provides principles for open data policies. OpenDataSoft is a company that helps make data scale and create value through visualizations, APIs, and enabling data reuse. It discusses using open data in areas like transportation, smart cities, and performance management.
SC4 Workshop 1: Simon Scerri (Fraunhofer) - What can big data do for transport?BigData_Europe
The document describes a series of workshops on empowering communities with data technologies for transport. It provides context on big data, including the large volume of data being created and its dimensions of volume, velocity, variety and veracity. It outlines the motivation and objectives of the Big Data Europe project, including establishing data value chains across domains and lowering barriers to using big data. Current activities for Year 1 include a series of societal workshops and setting up interest groups in health, food, energy, transport, climate, societies and security.
Big data Europe the transport pilot in Thessaloniki - Josep Maria SalanovaBigData_Europe
The document discusses mobile sensor data collection in Thessaloniki, Greece for transportation analysis. It describes using stationary Bluetooth sensors to track device IDs for travel time estimation and origin-destination analysis. It also uses floating car data from taxis and buses for traffic status and mobility pattern analysis. The data is processed using map matching and time series forecasting algorithms to classify current traffic states and predict future conditions. Websites and data portals for accessing the collected transportation data are also listed.
The document discusses Open Helsinki, an open data initiative of the cities of Helsinki, Espoo, Vantaa, and Kauniainen. The initiative provides over 700 open datasets across many domains to support uses like government transparency, business and innovation, and applications that benefit residents. Examples are provided of popular applications that have been developed using open data like city bike apps and event calendars. The initiative aims to enhance urban development and hopes increasing focus on data quality and skills will lead to better outcomes and innovations.
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
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/
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
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
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
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 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
Open Data Day 2016, Km4City, L’universita’ come aggregatore di Open Data del ...Paolo Nesi
Open Data Day, UNIMORE, Modena, 5 Marzo 2016.
Aggregazione dati, experienza di Firenze,
Smart City, Km4City,
Smart Decision Support,
Data Ingestion manager,
Data aggregation,
User profiling on demand.
Mobilità: inter-modalità, bigliettazione integrata, sostenibile, scambiatori, sfruttamento stazioni, etc.,
Servizi: gov ..SUAP, edu, turismo, beni culturali, salute, etc.,
Energia: risparmio energetico, riduzione amissioni, inquinamento, etc.,
Ambiente: qualità dell’aria, fiumi, meteo, rifiuti, etc.,
… commercio, industria, etc.
... Infrastrutture critiche. resilienza
Collezionamento dati statici, quasi statici e real time, stream
Dati open: geo localizzati, servizi, statistiche, censimenti, etc.
Dati privati degli operatori: con licenze limitate per non permettere di fare profitto ad altri operatori sulla base dei loro dati
Dati personali delle persone: profili, comportamenti tramite APP, IOT, sensori, web, etc.
Integrazione dati per renderli semanticamente interoperabili, ed operare deduzioni (time, space… )
I tradizionali collettori di open data danno visioni statistiche ma non sono adatti a produrre servizi integrati
Integrazione con modelli semantici unificanti come Km4City
Control Room delle Città Metropolitane devono:
arrivare a supervisionare domini multipli e le interdipendenze fra mobilità, energia, comunicazione, servizi, flussi traffico, flussi pedonali, turismo, etc.
Migliorare la loro Resilienza, capacità di reazione ed assorbimento
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: A reusable example of a Metropolitan-Wide Data Platform, MAJORCITIES...Paolo Nesi
This document describes Km4City, an open source smart city platform developed by DISIT Lab. It consists of tools to 1) keep cities under control via personalized dashboards, 2) improve city resilience through risk reduction and decision support, and 3) transform data into value for cities. The platform integrates data from various city systems and sensors to power applications for operators, decision makers, and citizens. It has been implemented in Florence and Tuscany to support projects like Sii-Mobility.
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
The document discusses how cities can learn from data to improve services. It outlines Barcelona's evolution with ICT from 1985 to present. Corporate data quality is key, and poor quality data can negatively impact services. External data from sensors, citizens, and other sources can complement or replace poor internal data. Collaborative data that combines internal and external sources along with open innovation can help transform public services. The Barcelona Open Challenge crowdsources solutions to city challenges through an open process.
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
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
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
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 !!
Dublin Region Innovation Network & Open Data Portal; Environment dubmeetDublinked .
The document discusses supporting data-driven innovation in the Dublin Region through opening government data and building an innovation network. It outlines Dublin's strengths as a tech hub and plans to capitalize on this through collaborating across sectors. This includes developing a smart city vision, releasing over 300 datasets, and hosting events to connect entrepreneurs with problems to solve using open data. The open data portal has seen success but challenges remain around changing culture, security, and developing new business models around data. The vision is for Dublin to become a leader in using data and prototypes to develop urban solutions.
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.
The document discusses Lombardy's strategy to promote openness and digital relationships through an API-driven approach. It aims to foster growth of digital ecosystems and leverage the region's digital transformation by opening its information systems. This includes publishing over 3,300 public datasets and 250 maps through APIs on open data and geo portals. A key initiative is the E015 digital ecosystem, a public-private community of over 600 participants that has developed over 160 APIs and 80 applications to support new digital relationships. Future plans include expanding API governance, management and promotion.
The document discusses open data and its impacts. It notes that open data must be freely accessible, in reusable formats, and under an open license. Open data can impact politics, society, and the economy by enabling open innovation and business opportunities. Implementing an open data policy faces challenges regarding policy, regulation, capacity, and technology. The Open Data Charter provides principles for open data policies. OpenDataSoft is a company that helps make data scale and create value through visualizations, APIs, and enabling data reuse. It discusses using open data in areas like transportation, smart cities, and performance management.
SC4 Workshop 1: Simon Scerri (Fraunhofer) - What can big data do for transport?BigData_Europe
The document describes a series of workshops on empowering communities with data technologies for transport. It provides context on big data, including the large volume of data being created and its dimensions of volume, velocity, variety and veracity. It outlines the motivation and objectives of the Big Data Europe project, including establishing data value chains across domains and lowering barriers to using big data. Current activities for Year 1 include a series of societal workshops and setting up interest groups in health, food, energy, transport, climate, societies and security.
Big data Europe the transport pilot in Thessaloniki - Josep Maria SalanovaBigData_Europe
The document discusses mobile sensor data collection in Thessaloniki, Greece for transportation analysis. It describes using stationary Bluetooth sensors to track device IDs for travel time estimation and origin-destination analysis. It also uses floating car data from taxis and buses for traffic status and mobility pattern analysis. The data is processed using map matching and time series forecasting algorithms to classify current traffic states and predict future conditions. Websites and data portals for accessing the collected transportation data are also listed.
The document discusses Open Helsinki, an open data initiative of the cities of Helsinki, Espoo, Vantaa, and Kauniainen. The initiative provides over 700 open datasets across many domains to support uses like government transparency, business and innovation, and applications that benefit residents. Examples are provided of popular applications that have been developed using open data like city bike apps and event calendars. The initiative aims to enhance urban development and hopes increasing focus on data quality and skills will lead to better outcomes and innovations.
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
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/
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
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!
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...Paolo Nesi
• Data Ingestion Capabilities
• Data Ingestion Strategy
• Setting Up the Road Graph on Knowledge Base
• Data Set Load via Data Gate (plus how to load triples into Knowledge base)
• Data Ingestion and Transformation via ETL Processes
• Data Ingestion via IOT Brokers
• IOT Network: recall of basic concepts
• IOT Directory
• IOT Devices and IOT Brokers Registration
• Data Ingestion via IOT Applications
• Data Ingestion from API, External Services, Custom MicroServices
• Data Ingestion via Web Scraping
• Data Streams from Smart City API, participatory
• Data Streams from Mobile Devices
• Data Streams from Dashboards
• GIS Data Import and Export
• Social Media data collection and exploitation
• Acknowledgements
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
Snap4City November 2019 Course: Smart City IOT Data AnalyticsPaolo Nesi
• Data Analytics: Examples from Snap4City
o Smart parking: Predictions
o User Behavior Analysis, via Wi-Fi, OD, Trajectories
o Recognition of Used Transportation means
o Traffic Flow Reconstruction, from Traffic Sensors Data
o Quality of Public Transport Service
o Origin Destination Matrices from: Wi-Fi, Mobile Apps, etc.
o Demand of Mobility vs Offer of Transportation
o Modal and Multimodal Routing for Navigation and Travel Planning
o Environmental Data Analysis and Predictions, early Warning
o Prediction of Air Quality Conditions
o Anomaly Detection
o What-IF Analysis
• Data Analytics: Enforcing and Exploiting
o Real Time Data Analytics: using R Studio Exploitation in IOT Applications
• Decision Support Systems, Smart DS and Resilience DS
• Twitter Vigilance: Social Media Analysis: Early Warning, Predictions
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.
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
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
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
Ontology Building vs Data Harvesting and Cleaning for Smart-city ServicesPaolo Nesi
Presently, a very large number of public and private data sets are available around the local governments. In most cases, they are not semantically interoperable and a huge human effort is needed to create integrated ontologies and knowledge base for smart city. Smart City ontology is not yet standardized, and a lot of research work is needed to identify models that can easily support the data reconciliation, the management of the complexity and reasoning. In this paper, a system for data ingestion and reconciliation of smart cities related aspects as road graph, services available on the roads, traffic sensors etc., is proposed. The system allows managing a big volume of data coming from a variety of sources considering both static and dynamic data. These data are mapped to smart-city ontology and stored into an RDF-Store where they are available for applications via SPARQL queries to provide new services to the users. The paper presents the process adopted to produce the ontology and the knowledge base and the mechanisms adopted for the verification, reconciliation and validation. Some examples about the possible usage of the coherent knowledge base produced are also offered and are accessible from the RDF-Store and related services. The article also presented the work performed about reconciliation algorithms and their comparative assessment and selection. Keywords Smart city, knowledge base construction, reconciliation, validation and verification of knowledge base, smart city ontology, linked open graph.
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
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
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
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
RESOLUTE: Governing for Resilience – Implementation Challenges Paolo Nesi
The document discusses the RESOLUTE project, which aims to develop guidelines and tools to help cities improve resilience. It focuses on applying these to urban transport systems. The project will create European Resilience Management Guidelines, validate them using the Collaborative Resilience Assessment and Management Support System in pilot cities Florence and Athens, and disseminate the guidelines across Europe. The document provides details on the RESOLUTE objectives, outcomes, architecture and tools developed to help assess and improve city resilience.
Similar to Gli open data nella “città intelligente” (20)
This report explores the significance of border towns and spaces for strengthening responses to young people on the move. In particular it explores the linkages of young people to local service centres with the aim of further developing service, protection, and support strategies for migrant children in border areas across the region. The report is based on a small-scale fieldwork study in the border towns of Chipata and Katete in Zambia conducted in July 2023. Border towns and spaces provide a rich source of information about issues related to the informal or irregular movement of young people across borders, including smuggling and trafficking. They can help build a picture of the nature and scope of the type of movement young migrants undertake and also the forms of protection available to them. Border towns and spaces also provide a lens through which we can better understand the vulnerabilities of young people on the move and, critically, the strategies they use to navigate challenges and access support.
The findings in this report highlight some of the key factors shaping the experiences and vulnerabilities of young people on the move – particularly their proximity to border spaces and how this affects the risks that they face. The report describes strategies that young people on the move employ to remain below the radar of visibility to state and non-state actors due to fear of arrest, detention, and deportation while also trying to keep themselves safe and access support in border towns. These strategies of (in)visibility provide a way to protect themselves yet at the same time also heighten some of the risks young people face as their vulnerabilities are not always recognised by those who could offer support.
In this report we show that the realities and challenges of life and migration in this region and in Zambia need to be better understood for support to be strengthened and tuned to meet the specific needs of young people on the move. This includes understanding the role of state and non-state stakeholders, the impact of laws and policies and, critically, the experiences of the young people themselves. We provide recommendations for immediate action, recommendations for programming to support young people on the move in the two towns that would reduce risk for young people in this area, and recommendations for longer term policy advocacy.
United Nations World Oceans Day 2024; June 8th " Awaken new dephts".Christina Parmionova
The program will expand our perspectives and appreciation for our blue planet, build new foundations for our relationship to the ocean, and ignite a wave of action toward necessary change.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Preliminary findings _OECD field visits to ten regions in the TSI EU mining r...OECDregions
Preliminary findings from OECD field visits for the project: Enhancing EU Mining Regional Ecosystems to Support the Green Transition and Secure Mineral Raw Materials Supply.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Contributi dei parlamentari del PD - Contributi L. 3/2019Partito democratico
DI SEGUITO SONO PUBBLICATI, AI SENSI DELL'ART. 11 DELLA LEGGE N. 3/2019, GLI IMPORTI RICEVUTI DALL'ENTRATA IN VIGORE DELLA SUDDETTA NORMA (31/01/2019) E FINO AL MESE SOLARE ANTECEDENTE QUELLO DELLA PUBBLICAZIONE SUL PRESENTE SITO
RFP for Reno's Community Assistance CenterThis Is Reno
Property appraisals completed in May for downtown Reno’s Community Assistance and Triage Centers (CAC) reveal that repairing the buildings to bring them back into service would cost an estimated $10.1 million—nearly four times the amount previously reported by city staff.
The Antyodaya Saral Haryana Portal is a pioneering initiative by the Government of Haryana aimed at providing citizens with seamless access to a wide range of government services
AHMR is an interdisciplinary peer-reviewed online journal created to encourage and facilitate the study of all aspects (socio-economic, political, legislative and developmental) of Human Mobility in Africa. Through the publication of original research, policy discussions and evidence research papers AHMR provides a comprehensive forum devoted exclusively to the analysis of contemporaneous trends, migration patterns and some of the most important migration-related issues.
1. DISIT Lab, Distributed Data Intelligence and Technologies
Distributed Systems and Internet Technologies
Department of Information Engineering (DINFO)
http://www.disit.dinfo.unifi.it
DISIT lab, September 2018
http://www.disit.org/km4city
Paolo Nesi, paolo.nesi@unifi.it
Gli open data nella “città intelligente”
www.Km4City.org
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
Connect
IOT/IOE
Upload context
Open Data
Connect external
Services
Advanced Smart
City API
Run
Applications &
Dashboard
Monitor
City Platform
Snap4City, Sept 2018, i-Cities 2018, Snap4City DISIT Lab (C) 2
Life Cycle
experiments
workshops
tutorials
networking
agreements
events
Start-ups
Research
groups
City
Users
City Operators
Large
Industries
collaborations
Licensing,
Gold services
personal
services
Case
Studies
Inhouse
companies
Resource Operators
Tech
providers
partnerships
documentation
Help desk
Category
Associations
Corporations
Advertisers
Community
Building
subscription to
applications
Produce City
Applications &
Dashboard
Promote
Applications &
Dashboards
Produce
Applications for City
Users
Set Up: ETL & Data
Analytic algorithms
Collaborative
Platform
Early Adopters
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
Km4City: Integrated Urban Platform
DISIT lab, September 2018
• 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
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
Mobile e Web Apps
Tools for Final Users
Km4City Smart City Engine
Transport systems
Mobility, parking
Km4CitySmartCityAPI
Public Services
Govern, events, …
Sensors, IOT
Cameras, ..
Environment,
Water, energy
Social Media
WiFi, network
DISCES--DistributedandparallelarchitectureonCloud
Shops, services,
operators
Km4City
Big Data Analytics
Smartening Tools
Development Tools
Recommender
Personal Assistant
Http://www.km4city.org
Smart Decision Support
Twitter VigilanceServiceMap browser
Analyzers of City User Behavior
Dashboards
City Operators and Decision Makers
DISIT lab, September 2018
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
Km4City in Tuscany Area
Road Graph (Tuscany region)
132,923 Roads , 389,711 Road Elements
318,160 Road Nodes, 1,508,207 Street Numbers
Info on: points, paths, areas, etc.
Services (20 cat, 512 cat.)
16 Public Transport Operators
21.280 Bus stops & 1081 bus lines
Dynamic/real-time in Tuscany Region
• Real time bus lines: 144 updates X day X line
• 1081 Transport Pub Lines: 1-2 up per day, time-path
• >210 parking lots status: 76 updates X day X sensor
• >796 traffic Sensors: 288 updates X day X sensor
• 285 weather area: 2 updates X day X area
• >12 hospital Triage status: 96 updates X day X FA
• 22 Environmental data: 20 updates X day X sensor
• 39 Bike Sharing data: Pisa and Siena
• 12 Pollination data
• 140 recharging stations
• Smart benches, waste mng, irrigators, lighting,…
• Florence ent.events: about 60 new events X day
• Different kinds of Florence traffic events,
• [1600 Fuel stations: 1 update X day X station]
• Wi-Fi: > 400.000 measures X day
• App mobiles: >50.000 measures X day
• more than 40.000 distinct users X day
• From 600.000 to 4.5 M Tweets X day
• many IOT sensors ……http://servicemap.km4city.org
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
Cycling Paths
DISIT lab, September 2018
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
DISIT lab, September 2018
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 in …
• Search all services in the area DISIT lab, September 2018
Antwerp Bologna
Toscana
Sardegna
Pisa
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: Knowledge Base
– Street-Guide
– Mobility and
transport
– Points of interest
– Sensors, IOT, ..
– Energy
– Administration
– Citations from
strings
– ..
– Multiple DOMAINS
– Geospatial reasoning
– Temporal reasoning
– Metadata
– Statistics
– Risk and Resilience
– Licensing
– Open and Private Data
– Static and Real time
Big Data Tools
LOD and
reasoners
DISIT lab, September 2018
Ontology Documentation:
http://www.disit.org/6506
http://www.disit.org/6507
http://www.disit.org/5606
http://www.disit.org/6461
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
Smart City API
http://www.disit.org/7044
DISIT lab, September 2018
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
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
DISIT lab, September 2018
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
Along a Line
DISIT lab, September 2018
Into an Area
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
Data Analytics
DISIT lab, September 2018
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
Km4City in Tuscany Area
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 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!http://servicemap.km4city.org
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
Wi-Fi OD estimation.
DISIT lab, September 2018
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.orgTraffic Flow Tools
• Spire and Virtual Spires (cameras), Bluetooth, ..
• Specifically located: along, around, ..
• Traffic
Tuscany
DISIT lab, September 2018
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 Free Parking space trends
DISIT lab, September 2018
Pieraccini Meyer,
Careggi
Beccaria S. Lorenzo
12 parking areas in Florence
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
Free Parking PREDICTIONS
• Active on Apps
– «Firenze dove cosa»
– «Toscana dove cosa»
DISIT lab, September 2018
Careggi car park
Model
features
BRNN model results
R-squared RMSE MASE
Baseline 0.974 24 1.87
Baseline + Weather 0.975 24 1.75
Baseline + Traffic sensors 0.975 24 2.04
Baseline + Weather + Traffic
sensors
0.975 24 1.87
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
DISIT lab, September 2018
IOT / IOE (Internet of Things/Everythings)
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
Dashboards and IOT Applications
• IOT Applications for: (i) enforcing smart and intelligence; (ii) data
transformation, (iii) data analytics
DashboardsIOT and City data World IOT Applications
My IOT Devices
DISIT lab, September 2018
Applications
21. DISIT lab, September 2018
City Dashboard + IOT App
Control Room Operator
Would like to:
- Monitor traffic flow,
Environment, Car parking,
Cycling, First aid, temp., ..
- Act and monitor Dynamic
Plates
- Act and monitor red lights
Driver, Policeman
Would like to:
- Monitor traffic,
Parking, env., speed
limit, …
- Act and monitor red
lights
23. Node.js Blocks on NodeRed SotA
Snap4City, Sept 2018, i-Cities 2018, Snap4City DISIT Lab (C) 23
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
Snap4City, Sept 2018, i-Cities 2018, Snap4City DISIT Lab (C) 24
MicroServices
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
Smart City Control Room
http://www.km4city.org/?controlRoom
DISIT lab, September 2018
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
DISIT lab, September 2018
Transport
systems,
Mobility, Parking
Sensors, IOT
Cameras, ..
Environment,
Water, energy
Shops,
services,
operators
Social Media,
WiFi, Network
Public services,
Govern, EventsDashboards
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
Smart City Dashboard
DISIT lab, September 2018
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
DISIT lab, September 2018http://dashboard.km4city.org/dashboardSmartCity/view/index.php?iddasboard=MTI0
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
DISIT lab, September 2018
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
DISIT lab, September 2018http://dashboard.km4city.org/dashboardSmartCity/view/index.php?iddasboard=MTIy
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
DISIT lab, September 2018
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
Engaging Users
via Mobile App
DISIT lab, September 2018
http://www.km4city.org/?controlRoom
http://www.km4city.org/?devTools
http://www.km4city.org/?infoDocs
http://www.km4city.org/?app
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
Km4CityMobile App
http://www.km4city.org
web application
DISIT lab, September 2018
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
Km4City APP
• Smart Parking, in Tuscany
• Smart First Aid in Tuscany
• Smart Public Transportation in
Tuscany
• Smart Fuel pricing in Tuscany
• Bike Sharing in Pisa
• Weather condition in Tuscany
• Pollution and Pollination in
Tuscany
• Traffic Sensors in Tuscany
• Smart Routing in Tuscany
• Smart Transportation in Florence
• Events, traffic, …
• Entertainment Events in Florence
DISIT lab, September 2018
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
DISIT lab, September 2018
Inform
You have parked out of your residential parking zone
The Road cleaning is this night
The waste in S.Andreas Road is full
Engage
Provide a comment, a score, etc..
Stimulate / recommend
Events in the city, services your may be interested,
etc..
Provide Bonus
Since you have parked here you we can get 1 Bonus
We suggest you to leave the car out of the city, this
bonus can be used to by a bus ticket
Any Mobile
and Web
App
City & City Operators
Strategy Editor
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
DISIT lab, September 2018
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
Development Tools
DISIT lab, September 2018
http://www.km4city.org/?controlRoom
http://www.km4city.org/?devTools
http://www.km4city.org/?infoDocs
http://www.km4city.org/?app
38. IOT Directory
Back Office Processes
IOT Broker
IOT Broker
IOT Broker
IOT Broker
ETL Process
Data Analytics
ETL Process
ETL Process
ETL Process
Data Analytics
Data Analytics
Data Analytics
Knowledge Base,
Km4City
Smart City API from Knowledge Base and other tools
Ontology SPARQL, FLINT LOG.disit.org
ServiceMap ServiceMap3D
Swagger MicroServices
IOT ApplicationsWeb and Mobile AppsDISCES and back office management tools
MicroApplications
Resource Manager
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 Development Tools
• Smart City API:
– Several kind of APIs
• Generator “ServiceMap”,
http://servicemap.km4city.org
– Call per web and mobile App
– Embedding in web pages
– Collaborative work
• Load new data: manual and automatic
– POI, IOT, etc.
– Load of Shape & Paths
– Collaborative work
• Dashboard builder
– Production of dashboard per control room
– Embedding view of any other analytics of Km4City or of third
party: wifi, 3D, flow, recommend, engager, etc.
– Collaborative work
DISIT lab, September 2018
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 ServiceMap Dev Tool
Search
along a line
Search around
a GPS point
Web App HTML5
Embed into Web pages
http://www.disit.org/6873
SmartCityAPIcallgeneration
Mobile Apps
DISIT lab, September 2018
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
Using and Contributing
Km4City
DISIT lab, September 2018
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
• Experimentations and validation in Tuscany
• Integration with present central station and subsystems
• DISIT lab, Università di Firenze, is the tech-scientific coordinator
Sii-Mobility
DISIT lab, September 2018
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
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
• 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
DISIT lab, September 2018
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 Lab and 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
http://replicate-project.eu/
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
• Snap4City is an open, standardized, data-driven, service-oriented, user-centric
platform enabling large-scale co-creation IOT/IOE applications.
• 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.
• validated in multiple devices (PC, Android, Raspberry, ..), and domains: mobility
and transport, tourism, health,
welfare, social
• The innovation on semantic
reasoning, IOT interoperability,
microservices, automated
dashboard production, .. thus
• smart city solutions in a
DISIT lab, September 2018
DashboardsIOT and City data World IOT Applications
My IOT Devices
Applications
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
http://www.resolute-eu.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
DISIT lab, September 2018
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 HUMANISTFR
SWARCO Mizar SWMIZ IT
Associação para o
Desenvolvimento da Investigação
no Instituto Superior de Gestão
ADI-ISG PT
Consorzio Milano Ricerche CMR IT
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
Governing tHe smart city: a gOvernance-
centred approach to SmarT urbanism –
GHOST
General Objectives
• Offer a comprehensive framework for
measuring and reassessing urban smart
development and related rankings
• Critical assessment of Smart City ranking index
existence
• Definition of an enabling technology
supporting the action plans for strengthening
multi-level place-based governance, applied in
the tourism context
• Definition of strategies for good smart
governance, with the purpose of providing
recommendations to start or implement an
institutional and development process leading
towards smart city governance.
DISIT lab, September 2018
Partners:
University of Cagliari (Coordinator) DICAAR
and DMI
University of Florence SAGAS and DISIT
University of Turin ESOMAS
University of Sassari DADU
Under the patronage of the
Municipality of Cagliari
Duration: 23/09/2015 - 23/09/2018
http://sites.unica.it/ghost
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
**
• 6/2018
Roadmap
WEEE
2017-2020
Snap4City• waste
• IOT/IOE
• Monitoring
• Smart City IOT
integration
• Living Lab
• 11/2018
2021
• Smart City vs
IOT, Industria 4.0
Trafair CEF
MOSAIC
ALTAIR
• 12/2018
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
Acknowledgement
• 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.
DISIT lab, September 2018