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Memorias de investigación
Ponencias en congresos:
Enabling Language Resources to Expose Translations as Linked Data on the Web
Año:2014
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Language resources, such as multilingual lexica and multilingual electronic dictionaries, contain collections of lexical entries in several languages. Having access to the corresponding explicit or implicit translation relations between such entries might be of great interest for many NLP-based applications. By using Semantic Web-based techniques, translations can be available on the Web to be consumed by other (semantic enabled) resources in a direct manner, not relying on application-specific formats. To that end, in this paper we propose a model for representing translations as linked data, as an extension of the lemon model. Our translation module represents some core information associated to term translations and does not commit to specific views or translation theories. As a proof of concept, we have extracted the translations of the terms contained in Terminesp, a multilingual terminological database, and represented them as linked data. We have made them accessible on the Web both for humans (via a Web interface) and software agents (with a SPARQL endpoint).
Internacional
Si
Nombre congreso
LREC 2014, Ninth International Conference on Language Resources and Evaluation
Tipo de participación
960
Lugar del congreso
Reykjavik, Islandia
Revisores
Si
ISBN o ISSN
978-2-9517408-8-4
DOI
Fecha inicio congreso
26/05/2014
Fecha fin congreso
31/05/2014
Desde la página
409
Hasta la página
413
Título de las actas
LREC 2014 Proceedings
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jorge Gracia Del Rio (UPM)
  • Autor: Elena Montiel Ponsoda (UPM)
  • Autor: Daniel Vila Suero (UPM)
  • Autor: Guadalupe Aguado De Cea (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
  • Departamento: Lingüística Aplicada a la Ciencia y a la Tecnología
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