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Semantic Similarity Measures Applied to an Ontology for Human-Like Interaction

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Human Language and Accessibility Technologies (HULAT)es
dc.contributor.authorAlbacete García, Esperanza
dc.contributor.authorCalle Gómez, Francisco Javier
dc.contributor.authorCastro Galán, Elena
dc.contributor.authorCuadra Fernández, María Dolores
dc.date.accessioned2015-03-10T10:14:02Z
dc.date.available2015-03-10T10:14:02Z
dc.date.issued2012-07
dc.description.abstractThe focus of this paper is the calculation of similarity between two concepts from an ontology for a Human-Like Interaction system. In order to facilitate this calculation, a similarity function is proposed based on five dimensions (sort, compositional, essential, restrictive and descriptive) constituting the structure of ontological knowledge. The paper includes a proposal for computing a similarity function for each dimension of knowledge. Later on, the similarity values obtained are weighted and aggregated to obtain a global similarity measure. In order to calculate those weights associated to each dimension, four training methods have been proposed. The training methods differ in the element to fit: the user, concepts or pairs of concepts, and a hybrid approach. For evaluating the proposal, the knowledge base was fed from WordNet and extended by using a knowledge editing toolkit (Cognos). The evaluation of the proposal is carried out through the comparison of system responses with those given by human test subjects, both providing a measure of the soundness of the procedure and revealing ways in which the proposal may be improved.en
dc.description.sponsorshipThe development of this approach and its construction as part of the LaBDA-Interactor Human-Like Interaction System, part of the research projects SemAnts (TSI-020110-2009-419) and THUBAN (TIN2008-02711) and CADOOH (TSI-020302-2011-21), is supported by the Spanish Ministry of Industry, Tourism and Commerce and the Spanish Ministry of Education, respectively. Besides, the knowledge bases were populated using the COGNOS toolkit developed through the research project MA2VICMR (S2009/TIC-1542) supported by the Regional Government of Madrid.en
dc.description.statusPublicado
dc.format.extent25
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationJournal of Artificial Intelligence Research 44 (2012) 397-421en
dc.identifier.doidoi:10.1613/jair.3612
dc.identifier.issn1076-9757
dc.identifier.publicationfirstpage397
dc.identifier.publicationlastpage421
dc.identifier.publicationtitleJournal of Artificial Intelligence Researchen
dc.identifier.publicationvolume44
dc.identifier.urihttps://hdl.handle.net/10016/20226
dc.identifier.uxxiAR/0000010150
dc.language.isoeng
dc.publisherArtificial Intelligence Foundation
dc.relation.projectIDComunidad de Madrid. S2009/TIC-1542/MA2VICMR
dc.relation.publisherversionhttp://dx.doi.org/doi:10.1613/jair.3612
dc.rights© 2012 AI Access Foundation
dc.rights.accessRightsopen access
dc.subject.ecienciaInformáticaes
dc.titleSemantic Similarity Measures Applied to an Ontology for Human-Like Interactionen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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