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dc.contributor.editorRuiz Cortés, Davides
dc.creatorAyala Hernández, Danieles
dc.creatorBorrego Díaz, Agustínes
dc.creatorHernández Salmerón, Inmaculada Concepciónes
dc.creatorRuiz Cortés, Davides
dc.date.accessioned2020-03-06T08:54:00Z
dc.date.available2020-03-06T08:54:00Z
dc.date.issued2020-04-01
dc.identifier.citationAyala Hernández, D., Borrego Díaz, A., Hernández Salmerón, I.C. y Ruiz Cortés, D. (2020). A neural network for semantic labelling of structured information. Expert Systems with Applications, 143
dc.identifier.issn0957-4174es
dc.identifier.urihttps://hdl.handle.net/11441/93976
dc.description.abstractIntelligent systems rely on rich sources of information to make informed decisions. Using information from external sources requires establishing correspondences between the information and known information classes. This can be achieved with semantic labelling, which assigns known labels to structured information by classifying it according to computed features. The existing proposals have explored different sets of features, without focusing on what classification techniques are used. In this paper we present three contributions: first, insights on architectural issues that arise when using neural networks for semantic labelling; second, a novel implementation of semantic labelling that uses a state-of-the-art neural network classifier which achieves significantly better results than other four traditional classifiers; third, a comparison of the results obtained by the former network when using different subsets of features, comparing textual features to structural ones, and domain-dependent features to domain-independent ones. The experiments were carried away with datasets from three real world sources. Our results show that there is a need to develop more semantic labelling proposals with sophisticated classification techniques and large features catalogues.es
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2016-75394-Res
dc.formatapplication/pdfes
dc.format.extent12es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofExpert Systems with Applications, 143
dc.subjectSemantic labellinges
dc.subjectInformation integrationes
dc.subjectNeural networkses
dc.titleA neural network for semantic labelling of structured informationes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDTIN2016-75394-Res
dc.date.embargoEndDate2022-04
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0957417419307705es
dc.identifier.doi10.1016/j.eswa.2019.113053es
dc.contributor.groupUniversidad de Sevilla. TIC134: Sistemas Informáticoses
dc.journaltitleExpert Systems with Applicationses
dc.publication.volumen143es
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). Españaes

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