Vallet-Weadon, David ; Fernández-Sánchez, Miriam and Castells-Azpilicueta, Pablo
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.
||Special edition on The Semantic Web
||information retrieval; ontologies; semantic; annotation; semantic search; semantic web
||Knowledge Media Institute
|Interdisciplinary Research Centre:
||Centre for Research in Computing (CRC)
||26 Apr 2011 09:40
||24 Feb 2016 21:05
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