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Automatic domain-specific learning: towards a methodology for ontology enrichment

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Automatic domain-specific learning: towards a methodology for ontology enrichment

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dc.contributor.author Ureña Gómez-Moreno, Pedro es_ES
dc.contributor.author Mestre-Mestre, Eva M. es_ES
dc.date.accessioned 2020-07-21T03:31:08Z
dc.date.available 2020-07-21T03:31:08Z
dc.date.issued 2017-12-05 es_ES
dc.identifier.issn 1133-1127 es_ES
dc.identifier.uri http://hdl.handle.net/10251/148357
dc.description.abstract [EN] At the current rate of technological development, in a world where enormous amount of data are constantly created and in which the Internet is used as the primary means for information exchange, there exists a need for tools that help processing, analyzing and using that information. However, while the growth of information poses many opportunities for social and scientific advance, it has also highlighted the difficulties of extracting meaningful patterns from massive data. Ontologies have been claimed to play a major role in the processing of large-scale data, as they serve as universal models of knowledge representation, and are being studied as possible solutions to this. This paper presents a method for the automatic expansion of ontologies based on corpus and terminological data exploitation. The proposed ¿ontology enrichment method¿ (OEM) consists of a sequence of tasks aimed at classifying an input keyword automatically under its corresponding node within a target ontology. Results prove that the method can be successfully applied for the automatic classification of specialized units into a reference ontology. es_ES
dc.description.sponsorship Financial support for this research has been provided by the DGI, Spanish Ministry of Education and Science, grant FFI2011-29798-C0201. es_ES
dc.language Inglés es_ES
dc.publisher Serv. Publicaciones de la Universidad de Las Palmas de Gran Canaria es_ES
dc.relation info:eu-repo/grantAgreement/MICINN//FFI2011-29798-C02-01/ES/DESARROLLO DE UN SISTEMA DE REPRESENTACION SEMANTICO-CONCEPTUAL Y SU IMPLEMENTACION EN UN ALGORITMO DE ENLACE BIDIRECCIONAL SINTAXIS-SEMANTICA/ es_ES
dc.relation.ispartof LFE. Revista de Lenguas para Fines Específicos es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Ontology learning es_ES
dc.subject FunGramKB es_ES
dc.subject Corpus es_ES
dc.subject Terminology es_ES
dc.subject Biology es_ES
dc.subject.classification FILOLOGIA INGLESA es_ES
dc.title Automatic domain-specific learning: towards a methodology for ontology enrichment es_ES
dc.type Artículo es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Lingüística Aplicada - Departament de Lingüística Aplicada es_ES
dc.description.bibliographicCitation Ureña Gómez-Moreno, P.; Mestre-Mestre, EM. (2017). Automatic domain-specific learning: towards a methodology for ontology enrichment. LFE. Revista de Lenguas para Fines Específicos. 23(2):63-85. http://hdl.handle.net/10251/148357 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://ojsspdc.ulpgc.es/ojs/index.php/LFE/article/view/919 es_ES
dc.description.upvformatpinicio 63 es_ES
dc.description.upvformatpfin 85 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 23 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\350989 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES


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