dc.contributor.author | Castells Azpilicueta, Pablo | |
dc.contributor.author | Fernández Sánchez, Miriam | |
dc.contributor.author | Vallet Weadon, David Jordi | |
dc.contributor.other | UAM. Departamento de Ingeniería Informática | es_ES |
dc.date.accessioned | 2014-02-17T15:45:49Z | |
dc.date.available | 2010-05-07 | |
dc.date.issued | 2007-02 | |
dc.identifier.citation | IEEE Transactions on Knowledge and Data Engineering 19.2 (2007): 161-272 | en_US |
dc.identifier.issn | 1041-4347 (print) | en_US |
dc.identifier.issn | 1558-2191 (online) | en_US |
dc.identifier.uri | http://hdl.handle.net/10486/4312 | |
dc.description | Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. P. Castells, M. Fernández, D. Vallet. "An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval", IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 2, pp. 261-272, February 2007. | en_US |
dc.description.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 knowledge bases to improve search over large document repositories. In our view of information retrieval on the semantic Web, a search engine returns documents rather than, or in addition to, exact values in response to user queries. For this purpose, our approach includes an ontology-based scheme for the semiautomatic 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 conventional keyword-based retrieval to achieve tolerance to knowledge base incompleteness. Experiments are shown where our approach is tested on corpora of significant scale, showing clear improvements with respect to keyword-based search | en_US |
dc.description.sponsorship | This research was supported by the European Commission (FP6-027685—MESH), and the Spanish Ministry of Science and Education (TIN2005-06885). | en_US |
dc.format.extent | 33 pág. | es_ES |
dc.format.mimetype | Application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.ispartof | IEEE transactions on knowledge and data engineering | en_US |
dc.rights | Copyright © 2007 IEEE | en_US |
dc.subject.other | Information retrieval models | en_US |
dc.subject.other | ontology languages | en_US |
dc.subject.other | semantic search | en_US |
dc.subject.other | semantic Web | en_US |
dc.title | An adaptation of the vector-space model for ontology based information retrieval | en_US |
dc.type | article | en_US |
dc.subject.eciencia | Informática | |
dc.type.review | Peer reviewed | en_US |
dc.relation.publisherversion | http://dx.doi.org/10.1109/TKDE.2007.22 | |
dc.identifier.doi | 10.1109/TKDE.2007.22 | |
dc.identifier.publicationfirstpage | 261 | |
dc.identifier.publicationissue | 2 | |
dc.identifier.publicationlastpage | 272 | |
dc.identifier.publicationvolume | 19 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP6/027685 | en |
dc.type.version | info:eu-repo/semantincs/acceptedVersion | en |
dc.contributor.group | Recuperación de información (ING EPS-008) | es_ES |
dc.rights.accessRights | openAccess | en |
dc.authorUAM | Castells Azpilicueta, Pablo (259643) | |
dc.authorUAM | Fernández Sánchez, Miriam (263553) | |
dc.authorUAM | Vallet Weadon, David Jordi (260947) | |
dc.facultadUAM | Escuela Politécnica Superior | |