The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture

Autores
Illescas Espinoza, Wilmer Henry; Fernández, Alejandro; Torres, Diego
Año de publicación
2017
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this article, we discuss existing literature on DSS in agriculture, on DSS that use data available in the Semantic Web, and on Semantic Web initiatives focusing on agriculture information. Our goal is to assess the readiness of the Semantic Web as a platform to empower DSS that can keep risk and uncertainty in agriculture under control. Key agricultural activities targeted by DSS reported in literature are nutrient management, insect and pest management, land use and planning, environmental change and forecasting, and water and drought management. The most relevant use of Semantic Web in DSS, is in data analysis, as a means of making DSS more intelligent. There are initiatives to produce vocabularies and semantic repositories in the domain of agriculture. However, data and models are still isolated in specific domain repositories, and interoperability is still weak.
IFIP Advances in Information and Communication Technology, vol. 506.
Laboratorio de Investigación y Formación en Informática Avanzada
Materia
Ciencias Informáticas
Web Semántica
Agricultura
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/83322
Acceder
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network_name_str SEDICI (UNLP)
spelling The Semantic Web as a Platform Against Risk and Uncertainty in AgricultureIllescas Espinoza, Wilmer HenryFernández, AlejandroTorres, DiegoCiencias InformáticasWeb SemánticaAgriculturaIn this article, we discuss existing literature on DSS in agriculture, on DSS that use data available in the Semantic Web, and on Semantic Web initiatives focusing on agriculture information. Our goal is to assess the readiness of the Semantic Web as a platform to empower DSS that can keep risk and uncertainty in agriculture under control. Key agricultural activities targeted by DSS reported in literature are nutrient management, insect and pest management, land use and planning, environmental change and forecasting, and water and drought management. The most relevant use of Semantic Web in DSS, is in data analysis, as a means of making DSS more intelligent. There are initiatives to produce vocabularies and semantic repositories in the domain of agriculture. However, data and models are still isolated in specific domain repositories, and interoperability is still weak.IFIP Advances in Information and Communication Technology, vol. 506.Laboratorio de Investigación y Formación en Informática Avanzada2017info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/83322spainfo:eu-repo/semantics/altIdentifier/isbn/978-3-319-65151-4info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-65151-4_67info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:56:42Zoai:sedici.unlp.edu.ar:10915/83322Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:56:43.157SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture
title The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture
spellingShingle The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture
Illescas Espinoza, Wilmer Henry
Ciencias Informáticas
Web Semántica
Agricultura
title_short The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture
title_full The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture
title_fullStr The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture
title_full_unstemmed The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture
title_sort The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture
dc.creator.none.fl_str_mv Illescas Espinoza, Wilmer Henry
Fernández, Alejandro
Torres, Diego
author Illescas Espinoza, Wilmer Henry
author_facet Illescas Espinoza, Wilmer Henry
Fernández, Alejandro
Torres, Diego
author_role author
author2 Fernández, Alejandro
Torres, Diego
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Web Semántica
Agricultura
topic Ciencias Informáticas
Web Semántica
Agricultura
dc.description.none.fl_txt_mv In this article, we discuss existing literature on DSS in agriculture, on DSS that use data available in the Semantic Web, and on Semantic Web initiatives focusing on agriculture information. Our goal is to assess the readiness of the Semantic Web as a platform to empower DSS that can keep risk and uncertainty in agriculture under control. Key agricultural activities targeted by DSS reported in literature are nutrient management, insect and pest management, land use and planning, environmental change and forecasting, and water and drought management. The most relevant use of Semantic Web in DSS, is in data analysis, as a means of making DSS more intelligent. There are initiatives to produce vocabularies and semantic repositories in the domain of agriculture. However, data and models are still isolated in specific domain repositories, and interoperability is still weak.
IFIP Advances in Information and Communication Technology, vol. 506.
Laboratorio de Investigación y Formación en Informática Avanzada
description In this article, we discuss existing literature on DSS in agriculture, on DSS that use data available in the Semantic Web, and on Semantic Web initiatives focusing on agriculture information. Our goal is to assess the readiness of the Semantic Web as a platform to empower DSS that can keep risk and uncertainty in agriculture under control. Key agricultural activities targeted by DSS reported in literature are nutrient management, insect and pest management, land use and planning, environmental change and forecasting, and water and drought management. The most relevant use of Semantic Web in DSS, is in data analysis, as a means of making DSS more intelligent. There are initiatives to produce vocabularies and semantic repositories in the domain of agriculture. However, data and models are still isolated in specific domain repositories, and interoperability is still weak.
publishDate 2017
dc.date.none.fl_str_mv 2017
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dc.language.none.fl_str_mv spa
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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