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dc.contributor.authorAlbuquerque, Andréa Corrêa Flôres-
dc.contributor.authordos Santos, José Laurindo Campos-
dc.contributor.authorCastro, Alberto Nogueira de-
dc.date.accessioned2020-06-16T17:31:44Z-
dc.date.available2020-06-16T17:31:44Z-
dc.date.issued2016-
dc.identifier.urihttps://repositorio.inpa.gov.br/handle/1/20024-
dc.description.abstractOntoBio is a formal ontology based on biodiversity concepts and applied for data integration and automatic system interoperability. Despite having reached a consistent stage of maturity, part of the experts' knowledge is still not represented in the ontology, and is thus lost. The knowledge (implicit-explicit) when modelled and made available on the Web, becomes essential in the process of generating of new knowledge. In this scope, questions are still open and research interests involve the representation of tacit knowledge, modelling and formalization. This work proposes a tacit knowledge formalization method to incorporate semantics and expressiveness in formal ontologies to support the generation of scientific knowledge. © 2015 IEEE.en
dc.language.isoen-
dc.publisherProceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015-
dc.relation.ispartofPags. 67-72pt_BR
dc.rightsRestrito-
dc.subjectArtificial Intelligenceen
dc.subjectBiodiversityen
dc.subjectInteroperabilityen
dc.subjectKnowledge Acquisitionen
dc.subjectKnowledge Representationen
dc.subjectSemanticsen
dc.subjectAutomatic Systemsen
dc.subjectConceptual Frameworksen
dc.subjectDomain Ontologiesen
dc.subjectImplicit-expliciten
dc.subjectKnowledge Structuringen
dc.subjectResearch Interestsen
dc.subjectScientific Knowledgeen
dc.subjectTacit Knowledgeen
dc.subjectData Integrationen
dc.titleElicitation process and knowledge structuring: A conceptual framework for biodiversityen
dc.typeTrabalho Apresentado em Eventopt_BR
dc.identifier.doi10.1109/MICAI.2015.17-
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