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A Linked Data representation of the Nomenclature of Territorial Units for Statistics

A Linked Data representation of the Nomenclature of Territorial Units for Statistics
A Linked Data representation of the Nomenclature of Territorial Units for Statistics
The recent 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 describes our approach for supporting the publication of geographical subdivisions in Linked Data format for supporting the e-government and public sector in publishing their data sets. The topological knowledge published can be reused in order to enrich the geographical context of other data sets, in particular we propose an exploitation scenario using statistical data sets described with the SCOVO ontology. The topological knowledge is then exploited within a service that supports the navigation and retrieval of statistical geographical entities for the EU territory. Geographical entities, in the extent of this paper, are linked data resources that describe objects that have a geographical extension. The data and services presented in this paper allows the discovery of resources that contain or are contained by a given entity URI and their representation within map widgets. We present an approach for a geography based service that helps in querying qualitative spatial relations for the EU statistical geography (proper containment so far). We also provide a rationale for publishing geographical information in Linked Data format based on our experience, within the EnAKTing project, in publishing UK PSI data.
linked data, topology, NUTS
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Granzotto, Alberto
54f9b265-efe4-4e63-bcbe-166e59c175a3
Salvadores, Manuel
c1822871-bf33-41cd-bf97-0e927ff74acc
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Granzotto, Alberto
54f9b265-efe4-4e63-bcbe-166e59c175a3
Salvadores, Manuel
c1822871-bf33-41cd-bf97-0e927ff74acc
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Correndo, Gianluca, Granzotto, Alberto, Salvadores, Manuel, Hall, Wendy and Shadbolt, Nigel (2010) A Linked Data representation of the Nomenclature of Territorial Units for Statistics. Future Internet Assembly, , Ghent, Belgium. 16 - 17 Dec 2010.

Record type: Conference or Workshop Item (Other)

Abstract

The recent 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 describes our approach for supporting the publication of geographical subdivisions in Linked Data format for supporting the e-government and public sector in publishing their data sets. The topological knowledge published can be reused in order to enrich the geographical context of other data sets, in particular we propose an exploitation scenario using statistical data sets described with the SCOVO ontology. The topological knowledge is then exploited within a service that supports the navigation and retrieval of statistical geographical entities for the EU territory. Geographical entities, in the extent of this paper, are linked data resources that describe objects that have a geographical extension. The data and services presented in this paper allows the discovery of resources that contain or are contained by a given entity URI and their representation within map widgets. We present an approach for a geography based service that helps in querying qualitative spatial relations for the EU statistical geography (proper containment so far). We also provide a rationale for publishing geographical information in Linked Data format based on our experience, within the EnAKTing project, in publishing UK PSI data.

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futureinternet_nuts.pdf - Accepted Manuscript
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More information

Published date: 16 December 2010
Additional Information: Event Dates: 16-17 December 2010
Venue - Dates: Future Internet Assembly, , Ghent, Belgium, 2010-12-16 - 2010-12-17
Keywords: linked data, topology, NUTS
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 271876
URI: http://eprints.soton.ac.uk/id/eprint/271876
PURE UUID: d3007a79-9572-491d-b84d-d879b9b8b1d7
ORCID for Gianluca Correndo: ORCID iD orcid.org/0000-0003-3335-5759
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811

Catalogue record

Date deposited: 07 Jan 2011 11:23
Last modified: 15 Sep 2021 01:34

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Contributors

Author: Gianluca Correndo ORCID iD
Author: Alberto Granzotto
Author: Manuel Salvadores
Author: Wendy Hall ORCID iD
Author: Nigel Shadbolt

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