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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/83322
Ver los metadatos del registro completo
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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:UNLP2025-09-29T11:15:51Zoai: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:13292025-09-29 11:15:51.873SEDICI (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 |
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2017 |
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info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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