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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.

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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.

Item Type: Conference or Workshop Item
Copyright Holders: 2005 Springer Verlag
ISSN: 1611-3349
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetEuropean Commission under contract FP6- 001765 aceMedia
Extra Information: ISBN: 978-3-540-26124-7
Series: LNCS Vol 3532 p.103-110
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 28604
Depositing User: Kay Dave
Date Deposited: 17 May 2011 09:48
Last Modified: 16 May 2018 11:44
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