Vallet, David; Fernandez, Miriam and Castells, Pablo
(2005).
| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1007/11431053_31 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
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. Our approach includes an ontology-based scheme for the semi-automatic annotation of documents, and a retrieval system. 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 is illustrated with sample experiments showing improvements with respect to keyword-based search, and providing ground for further research and discussion.
| Item Type: | Conference Item |
|---|---|
| Copyright Holders: | 2005 Springer Verlag |
| ISSN: | 1611-3349 |
| Funders: | European Commission under contract FP6- 001765 aceMedia |
| Extra Information: | ISBN: 978-3-540-26124-7
Series: LNCS Vol 3532 p.103-110 |
| Academic Unit/Department: | Knowledge Media Institute |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 28604 |
| Depositing User: | Kay Dave |
| Date Deposited: | 17 May 2011 09:48 |
| Last Modified: | 17 May 2011 09:48 |
| URI: | http://oro.open.ac.uk/id/eprint/28604 |
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