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Exploiting and Extending a Semantic Resource for Conceptual Indexing

Abstract : Information Retrieval Systems that compute a matching between a document and a query based on terms intersection, cannot reach relevant documents that do not share any terms with the query. The objective of this study is to propose a solution to this problem in the context of conceptual indexing. We study an ontology-based matching that exploits links between concepts. We propose a model that exploits the weighted links of an ontology. We also propose to extend the links of the ontology to reflect the structural ambiguity of some concepts. A validation of our proposal is made on the test collection ImagCLEFMed 2005 and the external resource UMLS 2005.
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https://hal.archives-ouvertes.fr/hal-00764330
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Submitted on : Wednesday, December 12, 2012 - 5:34:14 PM
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Karam Abdulahhad, Jean-Pierre Chevallet, Catherine Berrut. Exploiting and Extending a Semantic Resource for Conceptual Indexing. RISE 2011 - Atelier Recherche d'Information SEmantique (associé à la 8e édition de CORIA), Mar 2011, Avignon, France. pp.22-28. ⟨hal-00764330⟩

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