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Vallet-Weadon, David; Fernández-Sánchez, Miriam and Castells-Azpilicueta, Pablo
(2005).
URL: http://www.cepis.org/upgrade/index.jsp?p=2142&n=21...
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.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)
