A survey of semantic web technology for agriculture.

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dc.contributorBRETT DRURY, ICMC/USP; ROBSON FERNANDES, ICMC/USP; MARIA FERNANDA MOURA, CNPTIA; ALNEU DE ANDRADE LOPES, ICMC/USP.
dc.creatorDRURY, B.
dc.creatorFERNANDES, R.
dc.creatorMOURA, M. F.
dc.creatorLOPES, A. de A.
dc.date2020-12-12T09:01:43Z
dc.date2020-12-12T09:01:43Z
dc.date2020-12-11
dc.date2019
dc.date.accessioned2026-07-07T04:16:29Z
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.identifierInformation Processing in Agriculture, v. 6, n. 4, p. 487-501, Dec. 2019.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1127989
dc.identifierhttps://doi.org/10.1016/j.inpa.2019.02.001
dc.identifier.urihttp://hdl.handle.net/123456789/456157
dc.languageeng
dc.rightsopenAccess
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.subjectAgricultura
dc.subjectAgriculture
dc.subjectKnowledge
dc.titleA survey of semantic web technology for agriculture.
dc.typeArtigo de periódico

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Embrapa Agricultura Digital (CNPTIA)