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2005
Springer

An Ontology-Based Information Retrieval Model

13 years 11 months ago
An Ontology-Based Information Retrieval Model
Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontologybased 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.
David Vallet, Miriam Fernández, Pablo Caste
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ESWS
Authors David Vallet, Miriam Fernández, Pablo Castells
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