Linguistic Information for Multilinguality in the SEMbySEM Project.

Ingrid Falk 1 Samuel Cruz-Lara 1 Nadia Bellalem 1 Lotfi Bellalem 1
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 (http://www.sembysem.org, 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.
Type de document :
Communication dans un congrès
IC3K - International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Oct 2009, Funchal, Madeira, Portugal. 2009
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https://hal.inria.fr/inria-00423602
Contributeur : Ingrid Falk <>
Soumis le : lundi 12 octobre 2009 - 12:06:46
Dernière modification le : jeudi 11 janvier 2018 - 06:21:35
Document(s) archivé(s) le : mardi 16 octobre 2012 - 12:06:50

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Ingrid Falk, Samuel Cruz-Lara, Nadia Bellalem, Lotfi Bellalem. Linguistic Information for Multilinguality in the SEMbySEM Project.. IC3K - International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Oct 2009, Funchal, Madeira, Portugal. 2009. 〈inria-00423602〉

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