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2007

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

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An Information Retrieval Driven by Ontology: from Query to Document Expansion
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. Keywords Information retrieval, concept-based retrieval, query/document completion driven by ontology.
Mustapha Baziz, Mohand Boughanem, Gabriella Pasi,
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2007
Where RIAO
Authors Mustapha Baziz, Mohand Boughanem, Gabriella Pasi, Henri Prade
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