SPUD - Semantic Processing of Urban Data

Spyros Kotoulas, Vanessa Lopez, Raymond Lloyd, Marco Luca Sbodio, Freddy Lecue, Martin Stephenson, Elizabeth Daly, Veli Bicer, Aris Gkoulalas-Divanis, Giusy Di Lorenzo, Anika Schumann, Pol Mac Aonghusa

Abstract


We present SPUD, a semantic environment for cataloguing, exploring, integrating, understanding, processing and transforming urban information. A series of challenges are identied: 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 SemanticWeb technologies and apply our
technology to a trac 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.

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Type of Paper: Research Paper
Keywords: Semantic Web; Urban Information Management; Reasoning; Data Integration; RDF
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