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.

• Type: Conference
• Year: 2005
• Where: ESWS
• Authors: David Vallet, Miriam Fernández, Pablo Castells
• Keywords: Annotation Weighting Algorithm, ESWS 2005, Keyword-based Search, Semantic Search