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The quest for information retrieval on the semantic web

Vallet-Weadon, David; Fernández-Sánchez, Miriam and Castells-Azpilicueta, Pablo (2005). The quest for information retrieval on the semantic web. UPGRADE: The European Journal for the Informatics Professional, 2005(6) pp. 19–23.

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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. 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 has been tested on corpora of significant size, showing promising results with respect to keyword-based search, and providing ground for further analysis and research.

Item Type: Journal Item
Copyright Holders: 2005 Novática
ISSN: 1684-5285
Extra Information: Special edition on The Semantic Web
Keywords: information retrieval; ontologies; semantic; annotation; semantic search; semantic web
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: 28601
Depositing User: Kay Dave
Date Deposited: 26 Apr 2011 09:40
Last Modified: 10 Dec 2018 20:50
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