Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Using Cross-Lingual Explicit Semantic Analysis for Improving Ontology Translation
Year:2012
Research Areas
  • Information technology and adata processing
Information
Abstract
Semantic Web aims to allow machines to make inferences using the explicit conceptualisations contained in ontologies. By pointing to ontologies, Semantic Web-based applications are able to inter-operate and share common information easily. Nevertheless, multilingual semantic applications are still rare, owing to the fact that most online ontologies are monolingual in English. In order to solve this issue, techniques for ontology localisation and translation are needed. However, traditional machine translation is difficult to apply to ontologies, owing to the fact that ontology labels tend to be quite short in length and linguistically different from the free text paradigm. In this paper, we propose an approach to enhance machine translation of ontologies based on exploiting the well-structured concept descriptions contained in the ontology. In particular, our approach leverages the semantics contained in the ontology by using Cross Lingual Explicit Semantic Analysis (CLESA) for context-based disambiguation in phrase-based Statistical Machine Translation (SMT). The presented work is novel in the sense that application of CLESA in SMT has not been performed earlier to the best of our knowledge.
International
Si
Congress
Proc. of the Second Workshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT, at COLING'12
960
Place
Mumbai, India
Reviewers
Si
ISBN/ISSN
00000000
Start Date
08/12/2012
End Date
15/12/2012
From page
0
To page
0
The COLING 2012 Organizing Committee
Participants
  • Autor: Kartik Asooja . (UPM)
  • Autor: Jorge Gracia Del Rio (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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