An ontology-based information retrieval model

  • Authors:
  • David Vallet;Miriam Fernández;Pablo Castells

  • Affiliations:
  • Universidad Autónoma de Madrid Campus de Cantoblanco, Madrid;Universidad Autónoma de Madrid Campus de Cantoblanco, Madrid;Universidad Autónoma de Madrid Campus de Cantoblanco, Madrid

  • Venue:
  • ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
  • Year:
  • 2005

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Abstract

Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontology-based KBs to improve search over large document repositories. Our approach includes an ontology-based scheme for the semi-automatic annotation of documents, and a retrieval system. The retrieval model is based on an adaptation of the classic vector-space model, including an annotation weighting algorithm, and a ranking algorithm. Semantic search is combined with keyword-based search to achieve tolerance to KB incompleteness. Our proposal is illustrated with sample experiments showing improvements with respect to keyword-based search, and providing ground for further research and discussion.