Rivière or Fleuve? Modelling Multilinguality in the Hydrographical

Aguado de Cea, G. and Gómez-Pérez, A. and Montiel-Ponsoda, Elena and Vilches-Blázquez, LM. (2010). Rivière or Fleuve? Modelling Multilinguality in the Hydrographical. In: "1st Workshop on the Multilingual Semantic Web (MSW 2010)", 27/04/2010-27/04/2010, Raleigh, North Carolina, USA. ISBN ISSN 1613-0073.

Description

Title: Rivière or Fleuve? Modelling Multilinguality in the Hydrographical
Author/s:
  • Aguado de Cea, G.
  • Gómez-Pérez, A.
  • Montiel-Ponsoda, Elena
  • Vilches-Blázquez, LM.
Item Type: Presentation at Congress or Conference (Article)
Event Title: 1st Workshop on the Multilingual Semantic Web (MSW 2010)
Event Dates: 27/04/2010-27/04/2010
Event Location: Raleigh, North Carolina, USA
Title of Book: Proceedings of 1st Workshop on the Multilingual Semantic Web (MSW 2010)
Date: May 2010
ISBN: ISSN 1613-0073
Volume: 571
Subjects:
Freetext Keywords: multilingual ontologies, hydrographical domain, LIR, ontology, localization, oeg
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
UPM's Research Group: Ontology Engineering Group – OEG
Creative Commons Licenses: None

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Abstract

The need for interoperability among geospatial resources in different natural languages evidences the difficulties to cope with domain representations highly dependent of the culture in which they have been conceived. In this paper we characterize the problem of representing cultural discrepancies in ontologies. We argue that such differences can be accounted for at the ontology terminological layer by means of external elaborated models of linguistic information associated to ontologies. With the aim of showing how external models can cater for cultural discrepancies, we compare two versions of an ontology of the hydrographical domain: hydrOntology. The first version makes use of the labeling system supported by RDF(S) and OWL to include multilingual linguistic information in the ontology. The second version relies on the Linguistic Information Repository model (LIR) to associate structured multilingual information to ontology concepts. In this paper we propose an extension to the LIR to better capture linguistic and cultural specificities within and across languages

More information

Item ID: 5182
DC Identifier: http://oa.upm.es/5182/
OAI Identifier: oai:oa.upm.es:5182
Official URL: http://msw.deri.ie/?q=node/1
Deposited by: Dr Oscar Corcho
Deposited on: 17 Dec 2010 10:21
Last Modified: 20 Apr 2016 14:05
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