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Article type: Research Article
Authors: Correndo, Gianluca; | Shadbolt, Nigel
Affiliations: School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, United Kingdom. E-mail: [gc3,nrs]@ecs.soton.ac.uk
Note: [] Corresponding author. E-mail: [email protected].
Abstract: The publication of public sector information (PSI) data sets has brought to the attention of the scientific community the redundant presence of location based context. At the same time it stresses the inadequacy of current Linked Data services for exploiting the semantics of such contextual dimensions for easing entity retrieval and browsing. In this paper we describe our Linked Data representation of the NUTS European statistical subdivision, created to support the e-government and public sector in publishing their data sets. The topological knowledge published in the Linked NUTS can be reused in order to enrich the geographical context of other data sets, in particular in a scenario where statistical data sets describe information that have strong ties with the territory, and therefore with its geography.
Keywords: Geographical subdivisions, Linked Data, RDF, statistical regions, European Union
DOI: 10.3233/SW-2012-0079
Journal: Semantic Web, vol. 4, no. 3, pp. 251-256, 2013
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