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The quest for information retrieval on the semantic web

By David Vallet-Weadon, Miriam Fernández-Sánchez and Pablo Castells-Azpilicueta


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

Year: 2005
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Provided by: Open Research Online

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