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Ontology refinement for improved information retrieval

dc.contributor.authorJimeno Yepes, Antonio José
dc.contributor.authorBerlanga Llavori, Rafael
dc.contributor.authorRebholz-Schuhmann, Dietrich
dc.date.accessioned2012-10-22T11:17:58Z
dc.date.available2012-10-22T11:17:58Z
dc.date.issued2010
dc.identifierhttp://dx.doi.org/10.1016/j.ipm.2009.05.008
dc.identifier.citationInformation Processing and Management, 46, 4, p. 426-435
dc.identifier.issn3064573
dc.identifier.urihttp://hdl.handle.net/10234/49503
dc.description.abstractOntologies are frequently used in information retrieval being their main applications the expansion of queries, semantic indexing of documents and the organization of search results. Ontologies provide lexical items, allow conceptual normalization and provide different types of relations. However, the optimization of an ontology to perform information retrieval tasks is still unclear. In this paper, we use an ontology query model to analyze the usefulness of ontologies in effectively performing document searches. Moreover, we propose an algorithm to refine ontologies for information retrieval tasks with preliminary positive results. © 2009 Elsevier Ltd. All rights reserved.
dc.language.isoeng
dc.publisherElsevier
dc.rights.urihttp://rightsstatements.org/vocab/CNE/1.0/*
dc.subjectInformation extraction
dc.subjectInformation retrieval
dc.subjectLexicon cleansing
dc.subjectOntology refinement
dc.titleOntology refinement for improved information retrieval
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doihttp://dx.doi.org/10.1016/j.ipm.2009.05.008
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess


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    Articles de publicacions periòdiques escrits per professors del Departament de Llenguatges i Sistemes Informàtics

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