Smart City Semantics: Data Analytics and Human Computation to understand the Living Land Use. Presentation at the "Comitato Italo-Svizzero per la Geoinformatica"

1. Smart City Semantics Data Analytics and Human Computation to understand the Living Land Use
Irene Celinoand Gloria Re Calegari
CEFRIEL
Comitato Italo-Svizzero per la Geoinformatica – Como, 30-31/10/2014

2. Our Research GroupData Science
"extraction of knowledge from data"
Data modelling
Data processing
Data analytics
Data visualizationWeb Science
"interplay between Web and people"
Data on the Web
Human Computation
Web-based ecosystems
Mobile Web
CEFRIEL Data / Web Science Research Group 2 Como, 2014/10/30 © CEFRIEL 2014
with specific expertise and skills in Semantic Web standards and technologies

3. Research applied to Smart City / Territory
CEFRIEL Data / Web Science Research Group 3 Como, 2014/10/30 © CEFRIEL 2014
Data Science
"extraction of knowledge from data"
Geospatial data ontological modelling
Geospatial data integration and interlinking
Geospatial data retrieval
Geospatial Data Analytics
Geospatial data visualizationWeb Science
"interplay between Web and people"
Publication of geospatial data on the Web as Linked Data
Location-based GWAPs (Human Computation approach) for geospatial data curation
Location-based recommender systems

4. Smart City Semantics –Data Analytics
Research question: Do diverse and heterogeneous data sources (referring to the same geospatial context) give the same “picture” of the city/territory?
Methods: compare & contrast those data sources to discover “intrinsic” correlations with descriptive/predictive analytics
CEFRIEL Data / Web Science Research Group 4 Como, 2014/10/30 © CEFRIEL 2014
Strong and statistically significant correlation between density of POIs (from Milano’s open data) and CORINE land cover (111 urban fabric)
Spearman’s correlation=0,78
p-value=2e-16
Strong clustering similarity between call data records (from Telecom) and population distribution (from ISTAT)
Rand index=0,77
Cohen’s kappa=0,81

5. Living Land Use: detecting/eliciting changes in an outdated dataset based on an up-to-date or real-time (big) dataset recording human activity "traces"
Purpose: update an expensive dataset by using a cheaper datasetSample application: Living Land Use
CEFRIEL Data / Web Science Research Group 5 Como, 2014/10/30 © CEFRIEL 2014
http://livinglanduse.cefriel.com

6. Smart City Semantics –Human Computation
Research question: can citizen be successfully involved in a mixed human-computer geospatial data curation, processing and integration workflow?
Methods: citizen involvement through Human Computation or Citizen Science to collect and validate geospatial datasets
CEFRIEL Data / Web Science Research Group 6 Como, 2014/10/30 © CEFRIEL 2014

7. Sample applications: Urban Games Urban Games: collection and quality assessment of urban data through location-based Games with a Purpose
CEFRIEL Data / Web Science Research Group 7 Como, 2014/10/30 © CEFRIEL 2014
http://bit.ly/u-website
http://bit.ly/urbanmatch

8. Semantics… what?
Smart City / Territory Semantics
Big Data sense-makingabout a geospatial context Spatio-temporal characteristics of data as integration points between diverse and heterogeneous sources
Understanding the different “pictures” of the city hidden in data
Detecting the living land use from real-time/streaming data
Fostering a Citizen Computation approach to interleave open data, closed data and volunteered geographic information
Some “semantic” challenges:
Data heterogeneity(formats and granularity)
Data interoperability(standards, models and ontologies)
4 V’s of Big Data (Volume, Velocity, Variety and Veracity)
Geospatial decision-makingsupport
CEFRIEL Data / Web Science Research Group 8 Como, 2014/10/30 © CEFRIEL 2014

9. References
Irene Celino: "Geospatial dataset curation through a location-based game", Semantic Web Journal, DOI: 10.3233/SW-130129, IOS Press, (to appear).
Irene Celino and Gloria Re Calegari: "Geo-statistical Exploration of Milano Datasets", 2nd International Workshop on Semantic Statistics (SemStats), co-located with the 13th International Semantic Web Conference (ISWC), 2014.
Irene Celino and Alessio Carenini: "Towards a Semantic City Service Ecosystem", in: Proceedings of the 5th Workshop on Semantics for Smarter Cities, co-located with the 13th International Semantic Web Conference (ISWC), 2014.
Irene Celino and Spyros Kotoulas: “Smart Cities”, Guest Editors’ Introduction, Special Issue on Smart Cities, IEEE Internet Computing, Volume 17, Issue 6, pp.8-11, DOI: 10.1109/MIC.2013.117, 2013.
Irene Celino: "Human Computation VGI Provenance: Semantic Web-based Representation and Publishing", IEEE Transactions on Geoscience and Remote Sensing, Volume 51, Issue 11, pp. 5137-5144, DOI: 10.1109/TGRS.2013.2252015, 2013.
Irene Celino: "Location Based Games for Citizen Computation", in: Handbook of Human Computation, DOI: 10.1007/978-1-4614-8806-4_25, Springer, 2013.
Irene Celino, Simone Contessa, Marta Corubolo, Daniele Dell'Aglio, EmanueleDella Valle, Stefano Fumeo and Thorsten Krüger: “Linking Smart Cities Datasets with Human Computation –the case of UrbanMatch”, Proceeding of the 11th International Semantic Web Conference, ISWC 2012, Part II, Springer LNCS 7650, pp. 34–49, 2012.
Irene Celino, Dario Cerizza, Simone Contessa, Marta Corubolo, Daniele Dell'Aglio, EmanueleDella Valle and Stefano Fumeo: "Urbanopoly –a Social and Location-based Game with a Purpose to Crowdsourceyour Urban Data", Proceedings of the 4th IEEE International Conference on Social Computing, Workshop on Social Media for Human Computation (SoHuman), pp. 910-913, DOI: 10.1109/SocialCom-PASSAT.2012.138, 2012.
CEFRIEL Data / Web Science Research Group 9 Como, 2014/10/30 © CEFRIEL 2014

10. Thanks! Questions?
Irene Celino –CEFRIEL, Politecnico di Milano
email: Irene.Celino@cefriel.it–web: http://swa.cefriel.it
Comitato Italo-Svizzero per la Geoinformatica – Como, 30-31/10/2014