A survey of semantic web technology for agriculture.

Detalhes bibliográficos
Autor(a) principal: DRURY, B.
Data de Publicação: 2019
Outros Autores: FERNANDES, R., MOURA, M. F., LOPES, A. de A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127989
https://doi.org/10.1016/j.inpa.2019.02.001
Resumo: ABSTRACT. 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.
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spelling A survey of semantic web technology for agriculture.Web semânticaOntologiaRepresentação da informaçãoRepresentationSemantic web technologyOntologyOntologiesLinked dataSurveyAgriculturaAgricultureKnowledgeABSTRACT. 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.BRETT DRURY, ICMC/USP; ROBSON FERNANDES, ICMC/USP; MARIA FERNANDA MOURA, CNPTIA; ALNEU DE ANDRADE LOPES, ICMC/USP.DRURY, B.FERNANDES, R.MOURA, M. F.LOPES, A. de A.2020-12-12T09:01:43Z2020-12-12T09:01:43Z2020-12-112019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleInformation Processing in Agriculture, v. 6, n. 4, p. 487-501, Dec. 2019.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127989https://doi.org/10.1016/j.inpa.2019.02.001enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2020-12-12T09:01:51Zoai:www.alice.cnptia.embrapa.br:doc/1127989Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542020-12-12T09:01:51falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-12-12T09:01:51Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv A survey of semantic web technology for agriculture.
title A survey of semantic web technology for agriculture.
spellingShingle A survey of semantic web technology for agriculture.
DRURY, B.
Web semântica
Ontologia
Representação da informação
Representation
Semantic web technology
Ontology
Ontologies
Linked data
Survey
Agricultura
Agriculture
Knowledge
title_short A survey of semantic web technology for agriculture.
title_full A survey of semantic web technology for agriculture.
title_fullStr A survey of semantic web technology for agriculture.
title_full_unstemmed A survey of semantic web technology for agriculture.
title_sort A survey of semantic web technology for agriculture.
author DRURY, B.
author_facet DRURY, B.
FERNANDES, R.
MOURA, M. F.
LOPES, A. de A.
author_role author
author2 FERNANDES, R.
MOURA, M. F.
LOPES, A. de A.
author2_role author
author
author
dc.contributor.none.fl_str_mv BRETT DRURY, ICMC/USP; ROBSON FERNANDES, ICMC/USP; MARIA FERNANDA MOURA, CNPTIA; ALNEU DE ANDRADE LOPES, ICMC/USP.
dc.contributor.author.fl_str_mv DRURY, B.
FERNANDES, R.
MOURA, M. F.
LOPES, A. de A.
dc.subject.por.fl_str_mv Web semântica
Ontologia
Representação da informação
Representation
Semantic web technology
Ontology
Ontologies
Linked data
Survey
Agricultura
Agriculture
Knowledge
topic Web semântica
Ontologia
Representação da informação
Representation
Semantic web technology
Ontology
Ontologies
Linked data
Survey
Agricultura
Agriculture
Knowledge
description ABSTRACT. 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.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020-12-12T09:01:43Z
2020-12-12T09:01:43Z
2020-12-11
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Information Processing in Agriculture, v. 6, n. 4, p. 487-501, Dec. 2019.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127989
https://doi.org/10.1016/j.inpa.2019.02.001
identifier_str_mv Information Processing in Agriculture, v. 6, n. 4, p. 487-501, Dec. 2019.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127989
https://doi.org/10.1016/j.inpa.2019.02.001
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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