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dc.contributor.authorDanger, Roxana
dc.contributor.authorBerlanga Llavori, Rafael
dc.date.accessioned2012-08-07T09:56:02Z
dc.date.available2012-08-07T09:56:02Z
dc.date.issued2009
dc.identifierhttp://dx.doi.org/10.1016/j.jalgor.2009.02.006
dc.identifier.citationJournal of Algorithms, 64, 1, p. 16-30
dc.identifier.issn1966774
dc.identifier.urihttp://hdl.handle.net/10234/43744
dc.description.abstractThis paper presents a novel Information Extraction system able to generate complex instances from free text available on the Web. The approach is based on a non-monotonical processing over ontologies, and makes use of entity recognizers and disambiguators in order to adequately extract and combine instances and their relations. Experiments conducted over the archaeology research domain provide encouraging results in both efficiency and efficacy and suggest that the tool is suitable for its application on other similar Semantic Web resources. © 2009 Elsevier Inc. All rights reserved.
dc.language.isoeng
dc.publisherElsevier
dc.rights.urihttp://rightsstatements.org/vocab/CNE/1.0/*
dc.subjectInformation Extraction
dc.subjectSemantic Web
dc.titleGenerating complex ontology instances from documents
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doihttp://dx.doi.org/10.1016/j.jalgor.2009.02.006
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess


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