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1 TALARIS - Natural Language Processing: representation, inference and semantics Inria Nancy - Grand Est, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications

Abstract : In this paper we discuss ways to handle multilingual linguistic information within the framework of the SEMbySEM project, a research project within the European ITEA2 programme The SEMbySEM project aims at defining tools and standards for the supervision and management of complex and dynamic systems by using a semantic abstract representation of the system to be supervised or managed. As we want our system to conform to an end-user-s point of view, the conceptual information must be available and presentable in the end-user-s language. On the other hand, lately the need for and benefits of more accurate linguistic information associated to ontological knowledge representations have become more evident and there emerged models of how this articulation could be achieved. Two of these models are LexInfo Buitelaar et al. 2009 and LIR, the Linguistic Information Repository Montiel-Ponsoda et al. 2008. In this paper we explore these models under the prospect of putting one or both in praxis in the setting of the SEMbySEM project.

Keywords : knowledge representation ontology engineering multilingual linguistic representation ontology and lexicon

Autor: Ingrid Falk - Samuel Cruz-Lara - Nadia Bellalem - Lotfi Bellalem -



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