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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/72809
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dc.contributor.authorMarques, Caio Miguel-
dc.contributor.authorVon Zuben, João-
dc.contributor.authorGuilherme, Ivan Rizzo-
dc.date.accessioned2014-05-27T11:26:07Z-
dc.date.accessioned2016-10-25T18:35:29Z-
dc.date.available2014-05-27T11:26:07Z-
dc.date.available2016-10-25T18:35:29Z-
dc.date.issued2011-11-21-
dc.identifierhttp://dx.doi.org/10.1007/978-3-642-25126-9_6-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 7046 LNCS, p. 27-28.-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://hdl.handle.net/11449/72809-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/72809-
dc.description.abstractThis paper presents a domain ontology, the FeelingTheMusic Ontology - FTMOntology. FTMOntology is designed to represent the complex domain of music and how it relates to other domains like mood, personality and physiology. This includes representing the main concepts and relations of music domain with each of the above-mentioned domains. The concepts and relations between music, mood, personality and physiology. The main contribution of this work is to model and relate these different domains in a consistent ontology. © 2011 Springer-Verlag.en
dc.format.extent27-28-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectmusic semantic model-
dc.subjectOntology-
dc.subjectsemantic retrieval-
dc.subjectComplex domains-
dc.subjectDifferent domains-
dc.subjectDomain ontologies-
dc.subjectHuman physiology-
dc.subjectSemantic gap-
dc.subjectSemantic Model-
dc.subjectPhysiology-
dc.subjectSemantic Web-
dc.subjectSemantics-
dc.titleFTMOntology: An ontology to fill the semantic gap between music, mood, personality, and human physiologyen
dc.typeoutro-
dc.contributor.institutionCaiena R and D-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationCaiena R and D, Av. 34, 13500-230, Rio Claro-
dc.description.affiliationUNESP - São Paulo State University IGCE DEMAC, Rio Claro-
dc.description.affiliationUnespUNESP - São Paulo State University IGCE DEMAC, Rio Claro-
dc.identifier.doi10.1007/978-3-642-25126-9_6-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.identifier.scopus2-s2.0-81255179446-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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