Memorias de investigación
Ponencias en congresos:
Enriching an Ontology with Multilingual Information
Año:2008

Áreas de investigación
  • Inteligencia artificial

Datos
Descripción
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.
Internacional
Si
Nombre congreso
The 5th European Semantic Web Conference (ESWC 2008)
Tipo de participación
960
Lugar del congreso
Tenerife, España
Revisores
Si
ISBN o ISSN
978-3-540-68233-2
DOI
Fecha inicio congreso
01/06/2008
Fecha fin congreso
05/06/2008
Desde la página
333
Hasta la página
347
Título de las actas
Proceedings: The 5th European Semantic Web Conference (ESWC 2008)

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group (LIA). Laboratorio Inteligencia Artificial. Grupo de Ingeniería Ontológica
  • Departamento: Inteligencia Artificial