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SPUD - Semantic Processing of Urban Data

11 Pages Posted: 7 Jul 2018 Publication Status: Accepted

See all articles by Spyros Kotoulas

Spyros Kotoulas

VU University Amsterdam

Vanessa Lopez

IBM Research - Smarter Cities Technology Centre

Raymond Lloyd

IBM Research - Smarter Cities Technology Centre

Marco Luca Sbodio

Hewlett-Packard Enterprise - Innovation Center

Freddy Lecue

Université de Nice Sophia Antipolis - INRIA - Institut National de Recherche en Informatique et Automatique

Martin Stephenson

IBM Research - Smarter Cities Technology Centre

Elizabeth Daly

IBM Research - Smarter Cities Technology Centre

Veli Bicer

IBM Research - Smarter Cities Technology Centre

Aris Gkoulalas-Divanis

IBM Research - Smarter Cities Technology Centre

Giusy Di Lorenzo

IBM Research - Smarter Cities Technology Centre

Anika Schumann

IBM Research - Smarter Cities Technology Centre

Pol Mac Aonghusa

IBM Research - Smarter Cities Technology Centre

Abstract

We present SPUD, a semantic environment for cataloguing, exploring, integrating, understanding, processing and transforming urban information. A series of challenges are identified: namely, the heterogeneity of the domain and the impracticality of a common model, the volume of information and the number of data sets, the requirement for a low entry threshold to the system, the diversity of the input data, in terms of format, syntax and update frequency (streams vs static data), the complex data dependencies and the sensitivity of the information. We propose an approach for incremental and continuous integration of static and streaming data, based on Semantic Web technologies and apply our technology to a traffic diagnosis scenario. We demonstrate our approach through a system operating on real data in Dublin and we show that semantic technologies can be used to obtain business results in an environment with hundreds of heterogenous datasets coming from distributed data sources and spanning multiple domains.

Keywords: Semantic Web, Urban Information Management, Reasoning, Data Integration, RDF

Suggested Citation

Kotoulas, Spyros and Lopez, Vanessa and Lloyd, Raymond and Sbodio, Marco Luca and Lecue, Freddy and Stephenson, Martin and Daly, Elizabeth and Bicer, Veli and Gkoulalas-Divanis, Aris and Di Lorenzo, Giusy and Schumann, Anika and Mac Aonghusa, Pol, SPUD - Semantic Processing of Urban Data (January 2014). Journal of Web Semantics First Look, Available at SSRN: https://ssrn.com/abstract=3199081 or http://dx.doi.org/10.2139/ssrn.3199081

Spyros Kotoulas (Contact Author)

VU University Amsterdam ( email )

De Boelelaan 1105
Amsterdam, ND North Holland 1081 HV
Netherlands

Vanessa Lopez

IBM Research - Smarter Cities Technology Centre ( email )

Mulhuddart
Dublin
Ireland

Raymond Lloyd

IBM Research - Smarter Cities Technology Centre

Mulhuddart
Dublin
Ireland

Marco Luca Sbodio

Hewlett-Packard Enterprise - Innovation Center ( email )

Corso Trapani 16
Torino
Italy

Freddy Lecue

Université de Nice Sophia Antipolis - INRIA - Institut National de Recherche en Informatique et Automatique

250, rue Albert Einstein
Sophia Antipolis
France

Martin Stephenson

IBM Research - Smarter Cities Technology Centre

Mulhuddart
Dublin
Ireland

Elizabeth Daly

IBM Research - Smarter Cities Technology Centre

Mulhuddart
Dublin
Ireland

Veli Bicer

IBM Research - Smarter Cities Technology Centre

Mulhuddart
Dublin
Ireland

Aris Gkoulalas-Divanis

IBM Research - Smarter Cities Technology Centre

Mulhuddart
Dublin
Ireland

Giusy Di Lorenzo

IBM Research - Smarter Cities Technology Centre

Mulhuddart
Dublin
Ireland

Anika Schumann

IBM Research - Smarter Cities Technology Centre

Mulhuddart
Dublin
Ireland

Pol Mac Aonghusa

IBM Research - Smarter Cities Technology Centre

Mulhuddart
Dublin
Ireland

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