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. Monograph: The Semantic Web, 2005(6), pp. 19–23.

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Abstract

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 Article
Copyright Holders:	2005 Novática
ISSN:	1684-5285
Keywords:	information retrieval; ontologies; semantic; annotation; semantic search; semantic web
Academic Unit/Department:	Knowledge Media Institute
Interdisciplinary Research Centre:	Centre for Research in Computing (CRC)
Item ID:	28601
Depositing User:	Kay Dave
Date Deposited:	26 Apr 2011 09:40
Last Modified:	27 Apr 2011 16:31
URI:	http://oro.open.ac.uk/id/eprint/28601

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