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This paper presents a new method that aims at improving semantic indexing while reducing the number of indexing terms. Indexing terms are determined using a minimum redundancy cut in a hierarchy of conceptual hypernyms provided by an ontology (e.g. WordNet, EDR). The results of some information retrieval experiments carried out on several standard document collections using the EDR ontology are presented, illustrating the benefit of the method.

Minimum Redundancy Cut in Ontologies for Semantic Indexing