The University of Southampton
University of Southampton Institutional Repository

Linked nomenclature of territorial units for statistics

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
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), 251-256. (doi:10.3233/SW-2012-0079).

Record type: Article

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.

Full text not available from this repository.

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
ORCID for Gianluca Correndo: ORCID iD orcid.org/0000-0003-3335-5759

Catalogue record

Date deposited: 21 Jun 2013 12:44
Last modified: 20 Jul 2019 00:53

Export record

Altmetrics

Contributors

Author: Gianluca Correndo ORCID iD
Author: Nigel Shadbolt
Editor: Pascal Hitzler

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×