Open Data for Smart(er) Cities

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IBM Colloquium - Open Data Track Open Data for Smart(er) Cities "Food for thought" IBM Colloquium – The Science of Cities Irene Celino CEFRIEL ICT Institute, Politecnico di Milano

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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

Transcript of Open Data for Smart(er) Cities

Page 1: Open Data for Smart(er) Cities

IBM Colloquium - Open Data Track

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

IBM Colloquium – The Science of Cities

Irene Celino

CEFRIEL – ICT Institute, Politecnico di Milano

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Open Goverment Data for Smart Cities

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Open

Government

Data

Open Closed

Free Pay

License Unlicensed

For-profit Not-for-profit

Private Public

Format Content

Dump API

Structured Unstructured

Citizen Authority

Individual Community

Top-down Bottom-up

Dirty data Quality data

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Ingredients for OGD (1/3)

� Smarter Cities with... concrete actions� Small examples� Running applications� Pilot projects� Fail and try again� ...

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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)

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Ingredients for OGD (2/3)

� Smarter Cities with... everybody� Public and private� Citizens and communities� Companies and public authorities� Top-down and bottom-up� ...

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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)

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Ingredients for OGD (3/3)

� Smarter Cities with... fun ☺☺☺☺� Incentives for the citizens� Incentives for the tourists� Leverage individual capabilities� Engage responsabily� ...

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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

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Linked Data and Semantic Web for Smart Cities in LarKC

IBM Colloquium - Open Data Track

Irene Celino

CEFRIEL – ICT Institute, Politecnico di Milano

Dublin, 27th October 20116

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The integration of computing, sensing, and actuatio n technologies into everyday urban settings and lifestyles.

Urban Computing

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[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

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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?

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"Semantics" in the LarKC Urban Computing use case

Semantic Technologies

� 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)

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

Urban LarKC

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http://larkc.cefriel.it/alpha-Urban-LarKC/

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� Glusic : music concert recommender system based on social streams and multimedia contents

Glusic

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� Korean Road Sign Management : automatic checking of road signs information in Seoul

Road Sign Management

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� Traffic LarKC : find the shortest/quickest path to your destination in Milano with traffic predictions

Traffic LarKC

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http://larkc.cefriel.it/traffic-larkc/

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� BOTTARI : Location-based Social Media Analytics on Seoul POIs in Insa-Dong

BOTTARI

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http://larkc.cefriel.it/lbsma/bottari/

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Thanks for your time in viewing this presentation!

Irene Celino – CEFRIEL, ICT Institute Politecnico di Milano

email: [email protected] – web: http://swa.cefriel.it

IBM Colloquium - Open Data Track