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Alignement d'ontologies basé sur des ressources complémentaires : Illustration sur le système TaxoMap

Brigitte Safar 1, 2 Chantal Reynaud 1, 2 
2 GEMO - Integration of data and knowledge distributed over the web
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : A lot of alignment systems providing mappings between the concepts of two ontologies rely on the use of background knowledge, represented most of the time by a third ontology. The common objective is to complement current matching techniques which exploit structure or features represented in ontology representation languages and which fail when ontologies are only hierarchies or weakly structured models. This paper has two parts. First, we present a state-of-the-art of research work using background knowledge. A common general scheme is first introduced followed by an analysis of works that differ by the kind of background knowledge they use. The second part is dedicated to TaxoMap. We present the use context and the general architecture of the system. Then, we describe the way WordNet is exploited in TaxoMap as support knowledge together with experimental results.
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Submitted on : Thursday, June 10, 2010 - 5:17:49 PM
Last modification on : Sunday, June 26, 2022 - 11:51:52 AM


  • HAL Id : inria-00491166, version 1



Brigitte Safar, Chantal Reynaud. Alignement d'ontologies basé sur des ressources complémentaires : Illustration sur le système TaxoMap. Revue des Sciences et Technologies de l'Information - Série TSI : Technique et Science Informatiques, Lavoisier, 2009, pp.1211-1232. ⟨inria-00491166⟩



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