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Open Data for Smart(er) Cities


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personal preparation for the participation to IBM Colloquium, the opening event of the new Smarter City R&D Center of IBM in Dublin

Published in: Technology, Education

Open Data for Smart(er) Cities

  1. 1. Open Data for Smart(er) Cities "Food for thought" IBM Colloquium – The Science of Cities Irene CelinoCEFRIEL – ICT Institute, Politecnico di Milano IBM Colloquium - Open Data Track
  2. 2. Open Goverment Data for Smart Cities Private Public Open Closed Citizen Authority Government Free Pay For-profit Not-for-profit Open Top-down Bottom-upLicense Unlicensed Structured Unstructured Individual Community Data Dump API Format Content Dirty data Quality data IBM Colloquium - Open Data Track 2 Dublin, 27th October 2011
  3. 3. Ingredients for OGD (1/3) Smarter Cities with... concrete actions Small examples Running applications Pilot projects Fail and try again ...Some examples from our experience: Light-weight integration of publicly available urban-related data: Using traffic sensors data and urban POIs for a semantic path-finding: (winner of AI Mashup Challenge 2011) IBM Colloquium - Open Data Track 3 Dublin, 27th October 2011
  4. 4. Ingredients for OGD (2/3) Smarter Cities with... everybody Public and private Citizens and communities Companies and public authorities Top-down and bottom-up ...Some examples from our experience: Leveraging social media to gather people opinions about urban POIs: (winner of the Semantic Web Challenge 2011) EIT as a channel (Politecnico and Cefriel being part of the Italian node coordinated by Trento with direct involvement in the Smart Cities topic/track) IBM Colloquium - Open Data Track 4 Dublin, 27th October 2011
  5. 5. Ingredients for OGD (3/3) Smarter Cities with... fun ☺ Incentives for the citizens Incentives for the tourists Leverage individual capabilities Engage responsabily ...Some examples from our experience: Relying on user investigation capabilities to provide exploratory search tools: Using casual games to engage people to provide effective contributions to data quality: IBM Colloquium - Open Data Track 5 Dublin, 27th October 2011
  6. 6. Linked Data and Semantic Web for Smart Cities in LarKC Irene Celino CEFRIEL – ICT Institute, Politecnico di Milano IBM Colloquium - Open Data Track Dublin, 27th October 2011 6
  7. 7. Urban ComputingThe integration of computing, sensing, and actuation technologies into everyday urban settings and lifestyles. [source IEEE Pervasive Computing,July-September 2007 (Vol. 6, No. 3)] Urban settings include streets, squares, pubs, shops, buses, and cafés - any space in the semipublic realms of our towns and cities Only in the last few years research paid attention to urban environments Pervasive computing is more and more applied Great success of Location-based Services and Location-based Social Networks with increasing amounts of data Urban settings are challenging for experimentation & deploymentIBM Colloquium - Open Data Track 7 Dublin, 27th October 2011
  8. 8. LarKC Urban Computing Use Case Urban Computing to address cities challenges LarKC to elaborate urban data and provide solutionsIs public transportation where the people are? Which landmarks attract more people? Where are people concentrating? Where is traffic moving? IBM Colloquium - Open Data Track 8 Dublin, 27th October 2011
  9. 9. Semantic Technologies "Semantics" in the LarKC Urban Computing use caseSemantic Points of Interest (POIs) retrieval: Which are the relevant monuments? What events are scheduled tonight? What POIs should I visit?Operations Research: What is the most "desirable" path to my destination (shortest vs. quickest)? How should I schedule my city tour given my time constraints (TSP problem)?Machine Learning: What POIs could be interesting for me? Should I expect traffic on my way to…? Which "mavens" of this POI should I ask for advice?RDF/SPARQL/OWL based interoperability: integration and interoperability between different components through the adoption of Semantic Web technologies (enabled by the LarKC platform)IBM Colloquium - Open Data Track 9 Dublin, 27th October 2011
  10. 10. Urban LarKCUrban LarKC: find monuments and events in Milano andthe shortest path to reach them Colloquium - Open Data Track 10 Dublin, 27th October 2011
  11. 11. GlusicGlusic: music concert recommender system based onsocial streams and multimedia contentsIBM Colloquium - Open Data Track 11 Dublin, 27th October 2011
  12. 12. Road Sign ManagementKorean Road Sign Management: automatic checking ofroad signs information in SeoulIBM Colloquium - Open Data Track 12 Dublin, 27th October 2011
  13. 13. Traffic LarKCTraffic LarKC: find the shortest/quickest path to yourdestination in Milano with traffic predictions Colloquium - Open Data Track 13 Dublin, 27th October 2011
  14. 14. BOTTARIBOTTARI: Location-based Social Media Analytics on SeoulPOIs in Insa-Dong Colloquium - Open Data Track 14 Dublin, 27th October 2011
  15. 15. Thanks for your time in viewing this presentation!Irene Celino – CEFRIEL, ICT Institute Politecnico di Milano email: – web: IBM Colloquium - Open Data Track