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Communication Dans Un Congrès Année : 2007

An Information Retrieval Driven by Ontology: from Query to Document Expansion

Résumé

The paper proposes an approach to information retrieval based on the use of a structure (ontology) both for document (resp. query) indexing and query evaluating. The conceptual structure is hierarchical and it encodes the knowledge of the topical domain of the considered documents. It is formally represented as a tree. In this approach, the query evaluation is based on the comparison of minimal sub-trees containing the two sets of nodes corresponding to the concepts expressed in the document and the query respectively. The comparison is based on the computation of a degree of inclusion of the query tree in the document tree. Experiments undertaken on MuchMore benchmark showed the effectiveness of the approach.
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Dates et versions

hal-03358854 , version 1 (30-09-2021)

Identifiants

  • HAL Id : hal-03358854 , version 1

Citer

Mustapha Baziz, Mohand Boughanem, Gabriella Pasi, Henri Prade. An Information Retrieval Driven by Ontology: from Query to Document Expansion. 8th International Conference Computer-Assisted Information Retrieval - Recherche d'Information et ses Applications (RIAO 2007), May 2007, Pittsburgh, PA, United States. pp.301-313. ⟨hal-03358854⟩
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