Minimum redundancy cut in ontologies for semantic indexing

  • Authors:
  • Florian Seydoux;Jean-Cédric Chappelier

  • Affiliations:
  • School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland;School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

  • Venue:
  • EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
  • Year:
  • 2005

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Abstract

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.