An Ontology-Based Information Retrieval Model

The final publication is available at Springer via http://dx.doi.org/10.1007/11431053_31Proceedings of Second European Semantic Web Conference, ESWC 2005, Heraklion, Crete, Greece, May 29–June 1, 2005.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.This research was supported by the European Commission under contract FP6- 001765 aceMedia. The expressed content is the view of the authors but not necessarily the view of the aceMedia project as a whole. The authors would like to thank the reviewers for their detailed, accurate and helpful coments