An Ontology-Based Information Retrieval Model

Vallet, David; Fernandez, Miriam and Castells, Pablo (2005). An Ontology-Based Information Retrieval Model. In: The Semantic Web: Research and Applications, pp. 455–470.

DOI: https://doi.org/10.1007/11431053_31

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.

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