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An Ontology-Based Information Retrieval Model

  • David Vallet
  • Miriam Fernández
  • Pablo Castells
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3532)

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.

Keywords

Retrieval Model Domain Ontology Semantic Annotation Ranking Algorithm Class Hierarchy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • David Vallet
    • 1
  • Miriam Fernández
    • 1
  • Pablo Castells
    • 1
  1. 1.Universidad Autónoma de Madrid Campus de CantoblancoMadrid

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