Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Enriching an Ontology with Multilingual Information
Year:2008
Research Areas
  • Artificial intelligence
Information
Abstract
Organizations working in a multilingual environment demand multilingual ontologies. To solve this problem we propose LabelTransla- tor, a system that automatically localizes ontologies. Ontology localiza- tion consists of adapting an ontology to a concrete language and cultural community. LabelTranslator takes as input an ontology whose labels are described in a source natural language and obtains the most probable translation into a target natural language of each ontology label. Our main contri- bution is the automatization of this process which reduces human e®orts to localize an ontology manually. First, our system uses a translation ser- vice which obtains automatic translations of each ontology label (name of an ontology term) from/into English, German, or Spanish by con- sulting di®erent linguistic resources such as lexical databases, bilingual dictionaries, and terminologies. Second, a ranking method is used to sort each ontology label according to similarity with its lexical and semantic context. The experiments performed in order to evaluate the quality of translation show that our approach is a good approximation to automatically enrich an ontology with multilingual information.
International
Si
Congress
The 5th European Semantic Web Conference (ESWC 2008)
960
Place
Tenerife, España
Reviewers
Si
ISBN/ISSN
978-3-540-68233-2
Start Date
01/06/2008
End Date
05/06/2008
From page
333
To page
347
Proceedings: The 5th European Semantic Web Conference (ESWC 2008)
Participants
  • Participante: Eduardo Mena Nieto (Universidad de Zaragoza)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
  • Autor: Jorge Mauricio Espinoza Mejía (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group (LIA). Laboratorio Inteligencia Artificial. Grupo de Ingeniería Ontológica
  • Departamento: Inteligencia Artificial
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