Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127989
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorDRURY, B.
dc.contributor.authorFERNANDES, R.
dc.contributor.authorMOURA, M. F.
dc.contributor.authorLOPES, A. de A.
dc.date.accessioned2020-12-12T09:01:43Z-
dc.date.available2020-12-12T09:01:43Z-
dc.date.created2020-12-11
dc.date.issued2019
dc.identifier.citationInformation Processing in Agriculture, v. 6, n. 4, p. 487-501, Dec. 2019.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1127989-
dc.descriptionABSTRACT. Semantic web technologies have become a popular technique to apply meaning to unstructured data. They have been infrequently applied to problems within the agricultural domain when compared to complementary domains. Despite this lack of application, agriculture has a large number of semantic resources that have been developed by large NGOs such as the Food and Agriculture Organization (FAO). This survey is intended to motivate further research in the application of semantic web technologies for agricultural problems, by making available a self contained reference that provides: a comprehensive review of preexisting semantic resources and their construction methods, data interchange standards, as well as a survey of the current applications of semantic web technologies.
dc.language.isoeng
dc.rightsopenAccesseng
dc.subjectWeb semântica
dc.subjectOntologia
dc.subjectRepresentação da informação
dc.subjectRepresentation
dc.subjectSemantic web technology
dc.subjectOntology
dc.subjectOntologies
dc.subjectLinked data
dc.subjectSurvey
dc.titleA survey of semantic web technology for agriculture.
dc.typeArtigo de periódico
dc.subject.thesagroAgricultura
dc.subject.nalthesaurusAgriculture
dc.subject.nalthesaurusKnowledge
riaa.ainfo.id1127989
riaa.ainfo.lastupdate2020-12-22 -02:00:00
dc.identifier.doihttps://doi.org/10.1016/j.inpa.2019.02.001
dc.contributor.institutionBRETT DRURY, ICMC/USP; ROBSON FERNANDES, ICMC/USP; MARIA FERNANDA MOURA, CNPTIA; ALNEU DE ANDRADE LOPES, ICMC/USP.
Aparece nas coleções:Artigo em periódico indexado (CNPTIA)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
AP-Survey-semanticweb-2019.pdf580,21 kBAdobe PDFThumbnail
Visualizar/Abrir
Mostrar registro simples do item Visualizar estatísticas

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace