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.
Von Open Data zu Linked Open Data, M. Kaltenböck, SWCMartin Kaltenböck
Präsentation von Martin Kaltenböck, Semantic Web Company am 28.11. 2011 bei der AGEO Jahresveranstaltung 2011 über den Weg von Open Data (Offenen Daten) zu Linked Open Data (Vernetzten offenen Daten), sowie über das Potential und die Vorteile von Linked Open Data (LOD) im Bereich von Offenen Regierungsdaten (Open Government Data- OGD).
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.
Von Open Data zu Linked Open Data, M. Kaltenböck, SWCMartin Kaltenböck
Präsentation von Martin Kaltenböck, Semantic Web Company am 28.11. 2011 bei der AGEO Jahresveranstaltung 2011 über den Weg von Open Data (Offenen Daten) zu Linked Open Data (Vernetzten offenen Daten), sowie über das Potential und die Vorteile von Linked Open Data (LOD) im Bereich von Offenen Regierungsdaten (Open Government Data- OGD).
The presentation summarises the findings from a recent paper on technology foresight by EU data protection authorities, based upon research conducted in PHAEDRA II, a project dedicated to supporting better collaboration between those authorities.
Cloud Interoperability Infrastructures for Governments: The Government Servic...Yannis Charalabidis
Currently, public services are neither user-driven, nor sufficiently sophisticated to support seamless, real-time collaboration between the service consumers and the service providers. They are provided in a rigid, linear manner, without taking into consideration the individual characteristics and needs of each beneficiary. Such traditional public services have not delivered their promised added value or lived up to the expectations of citizens and enterprises for actual cost-effective, one stop-shop provisions.
A Government Service Utility (GSU), or an Interoperability Service Utility (ISU) operating in the Public sector, is a vision of the Internet of the Future, where public organisations, citizens, enterprises and non-profit organizations can collaboratively shape public services at design-time and runtime, in order to be delivered as a utility-like offering at their own ends, to the channels they prefer and in the context and situation they are. As public services increasingly bridge real with virtual life, new value proposition models embracing the Utility Concept shall emerge, enabling a win-win collaboration among many of the stakeholders. Several models of operation of the ISU within the public sector are presented, allowing for the introduction of shared infrastructures in different levels of engagement. The roles that different ISU implementations can play in digital public service creation and provision are contemplated with relevant business models, prescribing little, significant or full outsourcing of operations from the public sector towards private enterprises of all sizes
EDF2014: Piek Vossen, Professor Computational Lexicology, VU University Amste...European Data Forum
Invited Talk of Piek Vossen, Professor Computational Lexicology, VU University Amsterdam, Netherlands at the European Data Forum 2014, 19 March 2014 in Athens, Greece: NewsReader: recording history by processing massive streams of daily news
Big Data an opportunity for friendly cities
Lorena Pocatilu
The Bucharest University of Economic Studies, Economic Informatics and Cybernetics Department Bucharest, Romania
lorena.pocatilu@ie.ase.ro
The use of big data solutions is the biggest opportunity for friendly cities in our years. This happened because we need to access, process and use different data type very fast and big data solutions offers these facilities.
The concept of big data which creating value is not new, and in our age the effective use of da-ta is to becoming the basis element of competition. Cities of our time have always wanted to use correctly and to the real value the information and knowledge in order to make better, smarter, real time, fact-based decisions, this necessity of correct knowledge has fueled the growth of using big data. In this case the big data concept is the most important support for cities’ evolutions. In the world, many cities who are agree that this is true aren't sure how to make the most of it implementation. After a literature review analysis, this paper presents the steps for implement the solutions of big data in the core area of cities.
More and more companies from business and administration are agree that big data is an op-portunity for friendly cities. This paper highlights with examples from all over the world that those areas which use big data have good results. The areas that succeed aren't the ones who have the most data, but the ones who use it best. Big data will fundamentally change the way cities compete and operate. Companies from business and administration that invest in and successfully derive value from their data will have a distinct advantage over their competitors — a performance gap that will continue to grow as more relevant data is generated, emerging technologies and digital channels offer better acquisition and delivery mechanisms, and the technologies that enable faster, easier data analysis continue to develop.
Investment and development are the keys of our cities. This paper presents the impact of the big data solutions and how can use all the facility of this in friendly cities development. Having in view the researches in this area the cities development using big data in accordance with sustainability principles has become an opportunity of this century. An efficient access and use of huge quantity of data through big data solutions and the involvement of citizens in the initi-atives of local communities are the key elements that a city can use to achieve a harmonious development.
The major research of this approach is centered on the necessity of use big data for friendly cities.
OKCon 2008 - Lessons from Environmental informationMuki Haklay
The presentation covers several areas of open information and access to environmental information, starting with a short overview of the background, followed by some examples of environmental information over the internet from the past 14 years, then a few examples of recent development, and a discussion of the work that we’ve been carrying out at UCL recently. Finally, there are observations on access to information in the environmental field .
8. City Science: Urban Big Data and New Urban SystemsMITEF México
Data-driven analysis of economic
activity, human behavior, mobility
patterns, resource consumption, etc.
in order to inform an evidence-based
process of designing new cities
EDF2014: Talk of Krzysztof Wecel, Assistant professor, Poznan University of E...European Data Forum
Selected Talk of Krzysztof Wecel, Assistant professor, Poznan University of Economics, Poland at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Advanced Exploration of Public Procurement Data in Linked Data Paradigm
EDF2014: BIG - NESSI Networking Session: Nuria de Lama, Representative to the...European Data Forum
BIG - NESSI Networking Session, Talk by Nuria de Lama, Representative to the European Commission, Research & Innovation ATOS, Spain at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Towards a Big Data Public Private Partnership
Escola Estadual Edwards
Três Lagoas, de março de 2009
Disciplina: História
Professora: Ana Maria Queiroz
Professor STE:José Miguel
Aluno(a):
Nº: Fase: Turma
The presentation summarises the findings from a recent paper on technology foresight by EU data protection authorities, based upon research conducted in PHAEDRA II, a project dedicated to supporting better collaboration between those authorities.
Cloud Interoperability Infrastructures for Governments: The Government Servic...Yannis Charalabidis
Currently, public services are neither user-driven, nor sufficiently sophisticated to support seamless, real-time collaboration between the service consumers and the service providers. They are provided in a rigid, linear manner, without taking into consideration the individual characteristics and needs of each beneficiary. Such traditional public services have not delivered their promised added value or lived up to the expectations of citizens and enterprises for actual cost-effective, one stop-shop provisions.
A Government Service Utility (GSU), or an Interoperability Service Utility (ISU) operating in the Public sector, is a vision of the Internet of the Future, where public organisations, citizens, enterprises and non-profit organizations can collaboratively shape public services at design-time and runtime, in order to be delivered as a utility-like offering at their own ends, to the channels they prefer and in the context and situation they are. As public services increasingly bridge real with virtual life, new value proposition models embracing the Utility Concept shall emerge, enabling a win-win collaboration among many of the stakeholders. Several models of operation of the ISU within the public sector are presented, allowing for the introduction of shared infrastructures in different levels of engagement. The roles that different ISU implementations can play in digital public service creation and provision are contemplated with relevant business models, prescribing little, significant or full outsourcing of operations from the public sector towards private enterprises of all sizes
EDF2014: Piek Vossen, Professor Computational Lexicology, VU University Amste...European Data Forum
Invited Talk of Piek Vossen, Professor Computational Lexicology, VU University Amsterdam, Netherlands at the European Data Forum 2014, 19 March 2014 in Athens, Greece: NewsReader: recording history by processing massive streams of daily news
Big Data an opportunity for friendly cities
Lorena Pocatilu
The Bucharest University of Economic Studies, Economic Informatics and Cybernetics Department Bucharest, Romania
lorena.pocatilu@ie.ase.ro
The use of big data solutions is the biggest opportunity for friendly cities in our years. This happened because we need to access, process and use different data type very fast and big data solutions offers these facilities.
The concept of big data which creating value is not new, and in our age the effective use of da-ta is to becoming the basis element of competition. Cities of our time have always wanted to use correctly and to the real value the information and knowledge in order to make better, smarter, real time, fact-based decisions, this necessity of correct knowledge has fueled the growth of using big data. In this case the big data concept is the most important support for cities’ evolutions. In the world, many cities who are agree that this is true aren't sure how to make the most of it implementation. After a literature review analysis, this paper presents the steps for implement the solutions of big data in the core area of cities.
More and more companies from business and administration are agree that big data is an op-portunity for friendly cities. This paper highlights with examples from all over the world that those areas which use big data have good results. The areas that succeed aren't the ones who have the most data, but the ones who use it best. Big data will fundamentally change the way cities compete and operate. Companies from business and administration that invest in and successfully derive value from their data will have a distinct advantage over their competitors — a performance gap that will continue to grow as more relevant data is generated, emerging technologies and digital channels offer better acquisition and delivery mechanisms, and the technologies that enable faster, easier data analysis continue to develop.
Investment and development are the keys of our cities. This paper presents the impact of the big data solutions and how can use all the facility of this in friendly cities development. Having in view the researches in this area the cities development using big data in accordance with sustainability principles has become an opportunity of this century. An efficient access and use of huge quantity of data through big data solutions and the involvement of citizens in the initi-atives of local communities are the key elements that a city can use to achieve a harmonious development.
The major research of this approach is centered on the necessity of use big data for friendly cities.
OKCon 2008 - Lessons from Environmental informationMuki Haklay
The presentation covers several areas of open information and access to environmental information, starting with a short overview of the background, followed by some examples of environmental information over the internet from the past 14 years, then a few examples of recent development, and a discussion of the work that we’ve been carrying out at UCL recently. Finally, there are observations on access to information in the environmental field .
8. City Science: Urban Big Data and New Urban SystemsMITEF México
Data-driven analysis of economic
activity, human behavior, mobility
patterns, resource consumption, etc.
in order to inform an evidence-based
process of designing new cities
EDF2014: Talk of Krzysztof Wecel, Assistant professor, Poznan University of E...European Data Forum
Selected Talk of Krzysztof Wecel, Assistant professor, Poznan University of Economics, Poland at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Advanced Exploration of Public Procurement Data in Linked Data Paradigm
EDF2014: BIG - NESSI Networking Session: Nuria de Lama, Representative to the...European Data Forum
BIG - NESSI Networking Session, Talk by Nuria de Lama, Representative to the European Commission, Research & Innovation ATOS, Spain at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Towards a Big Data Public Private Partnership
Escola Estadual Edwards
Três Lagoas, de março de 2009
Disciplina: História
Professora: Ana Maria Queiroz
Professor STE:José Miguel
Aluno(a):
Nº: Fase: Turma
Escola Estadual Edwards
Três Lagoas, 12 de maio de 2009
Disciplina: Química
Professora: Ana Cláudia Martins Oliveira
Professor STE: José Miguel
Turno: Noturno
Fase: 1ª Turma: “B” e “C”
This report coordinated by Nesta and commissioned by the European Commission, DG CONNECT is the first systematic network analysis of the emerging digital social innovation (DSI) ecosystem in Europe.
OpenTransportNet: Stimulating Innovation with Open Geographic Information21cConsultancy_2012
The increasing availability of open Geographic Information (GI) presents a new opportunity for European Private and Public stakeholders, especially SMEs, to extract extra value from Open Data due to the fact that a vast amount of information has direct or indirect spatial references that open up new ways of interpreting it.
Day 2: Openness: making use of open data, Mr. Peter Reichstädter, CIO, Parlia...wepc2016
At first, it was assumed that if parliaments made their data available, people would come and get it. More recently, it has become clear that there is still much to do to make open data “profitable” and usable in a constant and reliable way. The session will also question parliament’s ability to access and use data from the executive branch of government and elsewhere in its own research activities.
Artificial Intelligence for open data or open data for artificial intelligence?Anastasija Nikiforova
This is a presentation used to deliver an invited talk for Babu Banarasi Das University (BBDU, Department of Computer Science and Engineering) Development Program «Artificial Intelligence for Sustainable Development» organized by AI Research Centre, Department of Computer Science & Engineering, ShodhGuru Research Labs, Soft Computing Research Society, IEEE UP Section, Computational Intelligence Society Chapter in 2022. Read more here -> https://anastasijanikiforova.com/2022/09/24/ai-for-open-data-or-open-data-for-ai-an-invited-talk-for-bbdu-development-program-artificial-intelligence-for-sustainable-development%f0%9f%8e%a4/
Future Internet Assembly Athens, presentations on Future Internet Projects Am...Katalin Gallyas
This presentation was given in Athens, on the Future Internet Assembly, 18 March 2014.
it is focuses on the Future Internet related projects and results that Amsterdam has implemented in the period of 2011-2014.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
PHP Frameworks: I want to break free (IPC Berlin 2024)
CO3 - Open Data
1. Rotterdam Open Data
Nieuwe betekenis van data voor de stad
Peter van Waart
Hogeschool Rotterdam, Lectoraat Human Centered ICT
Instituut voor Onderzoek en Innovatie (IOI)
p.van.waart@hr.nl
3. Wat is Data?
Definitie van het Rijk
“
[Open] data kunnen uiteenlopen van bijvoorbeeld boeken en films tot
wetenschappelijke artikelen en geografische kaarten.
http://www.rijksoverheid.nl/onderwerpen/ict/open-data-en-open-standaarden
4. Wat is Open Data?
Definitie Open Knowledge Foundation
“
A piece of content or data is open if anyone is free to use, reuse, and
redistribute it — subject only, at most, to the requirement to attribute
and share-alike.
http://opendefinition.org/
5. Wat is Open Data?
Definitie Open Knowledge Foundation
“
A piece of content or data is open if anyone is free to use, reuse, and
*
redistribute it — subject only, at most, to the requirement to attribute
and share-alike.
*Machine leesbare data
http://opendefinition.org/
6. Kwaliteit Open Data
data is beschikbaar (ongeacht welke formaat)
data is gestructureerd beschikbaar (b.v. excel i.p.v.
foto)
data is als open formaat beschikbaar (CSV i.p.v. excel)
data is via een uri te bereiken
data is gekoppeld aan andere bronnen
http://lab.linkeddata.deri.ie/2010/star-scheme-by-example/
7. Open Data & EU
Neelie Kroes Europees Commissaris, digitale agenda.
“I’ve said before that I’m a big fan of open data. Opening up public
data will get citizens involved in society and political life, increase the
transparency of public administration, and improve public decision
making.
http://blogs.ec.europa.eu/neelie-kroes/public-data-for-all-%E2%80%93-opening-up-europes-public-sector/
8. PSI 2003 Directive vanuit het
EU
Hergebruik van Public Sector Informatie
“ Making public all generally available documents held by the public
sector — concerning not only the political process but also the legal
and administrative process — is a fundamental instrument for
extending the right to knowledge, which is a basic principle of
democracy. This objective is applicable to institutions at every level, be
it local, national or international.
European Parliament and Council of the European Union. 2003. Directive 2003/4/EC of 28 January 2003 on public access to environmental information and repealing
Council Directive 90/313/EEC. OJ L 41, 14 February 2003, 26.European Parliament and Council of the European Union. 2003. Directive 2003/4/EC of 28 January 2003 on public
access to environmental information and repealing Council Directive 90/313/EEC. OJ L 41, 14 February 2003, 26.
10. Voordeel van Open Data
Transparantie Innovatie
Donner, 2011. Betreft Hergebruik en Open Data: naar betere vindbaarheid en herbruikbaarheid van overheidsinformatie. ,
pp.1-9.
11. Opbrengst van Open Data
binnen EU: Innovatie
€27 000 000 000 per jaar
Dekkers, M. et al., 2006. MEPSIR: Measuring European Public Sector Information Resources, p. 16
12. Spanje 550 miljoen door
Innovatie
hergebruik van PSI
Prepared by the Gobierno de España [multiple ministries]. “Characterization Study of the Infomediary Sector.” Proyecto Aporta, Reutilización
de la Información del Sector Publico. Published by the National Observatory of Telecommunications and of the Information Society (ONTSI). June
2011
19. Ro#erdam
Unlimited
Inform physically challenged people with information on the
accessibility of buildings and locations in Rotterdam, and let people
generate and share additional information.
Stakeholders involved in this project are:
- City of Rotterdam, Social Affairs
- Society Agenda22, Society MEE
Car2Cloud
Collect in-car data (with ODB2-connectors) to be shared (in the clowd)
by car drivers for different (yet undefined) purposes.
Stakeholders involved in this project are:
- City of Rotterdam, Climate Initiative Rotterdam
- Sense Observation Systems
- GreenWheels or local company that uses lease cars.
20. Ro#erdam
Open
Data
-‐
1KM3
Combine Public Sector Information (PSI) with –less- stakeholders involved in this project are:
structured- other data such as user-generated data • City of Rotterda
(Facebook check-ins, Tweets, Flickr photos) or ‘invisible’ • Housing corporation Vestia
data made visible such as animals living on or under • DPI Animation House
ground, emotions, weather forecast information, etcetera, • ESRI
with the use of current technologies (like sensors). • Almende
• Society for Self-Organisation
• Kennisalliantie