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Open Data for Smart(er) Cities
    "Food for thought"

  IBM Colloquium – The Science of Cities



             Irene Celino
CEFRIEL – ICT Institute, Politecnico di Milano

              IBM Colloquium - Open Data Track
Open Goverment Data for Smart Cities
                                                Private               Public
   Open                    Closed                                                    Citizen                Authority


                                                            Government
              Free                     Pay

                                                   For-profit              Not-for-profit


               Open                                                       Top-down                 Bottom-up


License                 Unlicensed               Structured               Unstructured




       Individual                  Community                           Data              Dump                   API

                                       Format               Content

                                                                  Dirty data                Quality data

    IBM Colloquium - Open Data Track                                           2                   Dublin, 27th October 2011
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:
   http://larkc.cefriel.it/alpha-Urban-LarKC/
   Using traffic sensors data and urban POIs for a semantic path-finding:
   http://larkc.cefriel.it/traffic-larkc/ (winner of AI Mashup Challenge 2011)
   IBM Colloquium - Open Data Track                           3                  Dublin, 27th October 2011
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:
   http://larkc.cefriel.it/lbsma/bottari/ (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
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:
   http://www.search-computing.it/
   Using casual games to engage people to provide effective contributions to data quality:
   http://www.slideshare.net/iricelino/urbangames-in-planetdata
   IBM Colloquium - Open Data Track                       5                  Dublin, 27th October 2011
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
Urban Computing
The 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 & deployment




IBM Colloquium - Open Data Track                                 7                   Dublin, 27th October 2011
LarKC Urban Computing Use Case
   Urban Computing to address cities' challenges
   LarKC to elaborate urban data and provide solutions
Is 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
Semantic Technologies
 "Semantics" in the LarKC Urban Computing use case

Semantic 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
Urban LarKC
Urban LarKC: find monuments and events in Milano and
the shortest path to reach them




http://larkc.cefriel.it/alpha-Urban-LarKC/
IBM Colloquium - Open Data Track             10     Dublin, 27th October 2011
Glusic
Glusic: music concert recommender system based on
social streams and multimedia contents




IBM Colloquium - Open Data Track   11       Dublin, 27th October 2011
Road Sign Management
Korean Road Sign Management: automatic checking of
road signs information in Seoul




IBM Colloquium - Open Data Track      12       Dublin, 27th October 2011
Traffic LarKC
Traffic LarKC: find the shortest/quickest path to your
destination in Milano with traffic predictions




http://larkc.cefriel.it/traffic-larkc/
IBM Colloquium - Open Data Track         13       Dublin, 27th October 2011
BOTTARI
BOTTARI: Location-based Social Media Analytics on Seoul
POIs in Insa-Dong




http://larkc.cefriel.it/lbsma/bottari/
IBM Colloquium - Open Data Track         14   Dublin, 27th October 2011
Thanks for your time in viewing
      this presentation!



Irene Celino – CEFRIEL, ICT Institute Politecnico di Milano
   email: Irene.Celino@cefriel.it – web: http://swa.cefriel.it

                      IBM Colloquium - Open Data Track

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Open Data for Smart(er) Cities

  • 1. Open Data for Smart(er) Cities "Food for thought" IBM Colloquium – The Science of Cities Irene Celino CEFRIEL – ICT Institute, Politecnico di Milano IBM Colloquium - Open Data Track
  • 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-up License 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. 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: http://larkc.cefriel.it/alpha-Urban-LarKC/ Using traffic sensors data and urban POIs for a semantic path-finding: http://larkc.cefriel.it/traffic-larkc/ (winner of AI Mashup Challenge 2011) IBM Colloquium - Open Data Track 3 Dublin, 27th October 2011
  • 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: http://larkc.cefriel.it/lbsma/bottari/ (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. 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: http://www.search-computing.it/ Using casual games to engage people to provide effective contributions to data quality: http://www.slideshare.net/iricelino/urbangames-in-planetdata IBM Colloquium - Open Data Track 5 Dublin, 27th October 2011
  • 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. Urban Computing The 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 & deployment IBM Colloquium - Open Data Track 7 Dublin, 27th October 2011
  • 8. LarKC Urban Computing Use Case Urban Computing to address cities' challenges LarKC to elaborate urban data and provide solutions Is 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. Semantic Technologies "Semantics" in the LarKC Urban Computing use case Semantic 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. Urban LarKC Urban LarKC: find monuments and events in Milano and the shortest path to reach them http://larkc.cefriel.it/alpha-Urban-LarKC/ IBM Colloquium - Open Data Track 10 Dublin, 27th October 2011
  • 11. Glusic Glusic: music concert recommender system based on social streams and multimedia contents IBM Colloquium - Open Data Track 11 Dublin, 27th October 2011
  • 12. Road Sign Management Korean Road Sign Management: automatic checking of road signs information in Seoul IBM Colloquium - Open Data Track 12 Dublin, 27th October 2011
  • 13. Traffic LarKC Traffic LarKC: find the shortest/quickest path to your destination in Milano with traffic predictions http://larkc.cefriel.it/traffic-larkc/ IBM Colloquium - Open Data Track 13 Dublin, 27th October 2011
  • 14. BOTTARI BOTTARI: Location-based Social Media Analytics on Seoul POIs in Insa-Dong http://larkc.cefriel.it/lbsma/bottari/ IBM Colloquium - Open Data Track 14 Dublin, 27th October 2011
  • 15. Thanks for your time in viewing this presentation! Irene Celino – CEFRIEL, ICT Institute Politecnico di Milano email: Irene.Celino@cefriel.it – web: http://swa.cefriel.it IBM Colloquium - Open Data Track