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Smart City Semantics: Data Analytics and Human Computation to understand the Living Land Use. Presentation at the "Comitato Italo-Svizzero per la Geoinformatica"
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Smart City Semantics
Data Analytics and Human Computation
to understand the Living Land Use
Irene Celino and Gloria Re Calegari
CEFRIEL
Comitato Italo-Svizzero per la Geoinformatica – Como, 30-31/10/2014
Our Research Group
Data Science
"extraction of knowledge
from data"
Data modelling
Data processing
Data analytics
Data visualization
Web Science
"interplay between Web
and people"
Data on the Web
Human Computation
Web-based ecosystems
Mobile Web
Como, 2014/10/30 © CEFRIEL 20142CEFRIEL Data / Web Science Research Group
with specific expertise and skills in
Semantic Web standards and technologies
Research applied to Smart City / Territory
Como, 2014/10/30 © CEFRIEL 20143CEFRIEL Data / Web Science Research Group
Data Science
"extraction of knowledge
from data"
Geospatial data ontological
modelling
Geospatial data integration
and interlinking
Geospatial data retrieval
Geospatial Data Analytics
Geospatial data
visualization
Web 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
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
Como, 2014/10/30 © CEFRIEL 20144CEFRIEL Data / Web Science Research Group
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
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outdated dataset based on an up-to-date or real-time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 dataset
Sample application: Living Land Use
Como, 2014/10/30 © CEFRIEL 20145CEFRIEL Data / Web Science Research Group
http://livinglanduse.cefriel.com
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
Como, 2014/10/30 © CEFRIEL 20146CEFRIEL Data / Web Science Research Group
Sample applications: Urban Games
Urban Games: collection and quality assessment of urban
data through location-based Games with a Purpose
Como, 2014/10/30 © CEFRIEL 20147CEFRIEL Data / Web Science Research Group
http://bit.ly/u-website
http://bit.ly/urbanmatch
Semantics… what?
Smart City / Territory Semantics
Big Data sense-making about 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-making support
Como, 2014/10/30 © CEFRIEL 20148CEFRIEL Data / Web Science Research Group
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, Emanuele Della 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, Emanuele Della Valle and
Stefano Fumeo: "Urbanopoly – a Social and Location-based Game with a Purpose to Crowdsource your
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.
Como, 2014/10/30 © CEFRIEL 20149CEFRIEL Data / Web Science Research Group
Thanks! Questions?
Irene Celino – CEFRIEL, Politecnico di Milano
email: [email protected] – web: http://swa.cefriel.it
Comitato Italo-Svizzero per la Geoinformatica – Como, 30-31/10/2014
