Linked nomenclature of territorial units for statistics
Linked nomenclature of territorial units for statistics
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.
geographical subdivisions, linked data, rdf, statistical regions, european union
251-256
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Hitzler, Pascal
0b4ddad5-0c6e-4b0d-90e9-c6c561c09b8b
1 January 2013
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Hitzler, Pascal
0b4ddad5-0c6e-4b0d-90e9-c6c561c09b8b
Correndo, Gianluca and Shadbolt, Nigel
,
Hitzler, Pascal
(ed.)
(2013)
Linked nomenclature of territorial units for statistics.
Semantic Web, 4 (3), .
(doi:10.3233/SW-2012-0079).
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.
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More information
Published date: 1 January 2013
Keywords:
geographical subdivisions, linked data, rdf, statistical regions, european union
Organisations:
Web & Internet Science, IT Innovation
Identifiers
Local EPrints ID: 343189
URI: http://eprints.soton.ac.uk/id/eprint/343189
PURE UUID: db1cbe44-44da-4308-bddf-8a4aac0e2040
Catalogue record
Date deposited: 21 Jun 2013 12:44
Last modified: 14 Mar 2024 12:01
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Contributors
Author:
Gianluca Correndo
Author:
Nigel Shadbolt
Editor:
Pascal Hitzler
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