期刊名称:International Journal of Computer Science & Technology
印刷版ISSN:2229-4333
电子版ISSN:0976-8491
出版年度:2012
卷号:3
期号:2
页码:1129-1133
语种:English
出版社:Ayushmaan Technologies
摘要: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 keywordbased search, and providing ground for further research and discussion.