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dc.date.accessioned 2019-10-15T18:18:01Z
dc.date.available 2019-10-15T18:18:01Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/83322
dc.description.abstract 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. en
dc.language es es
dc.subject Web Semántica es
dc.subject Agricultura es
dc.title The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture en
dc.type Objeto de conferencia es
sedici.identifier.other https://doi.org/10.1007/978-3-319-65151-4_67 es
sedici.identifier.isbn 978-3-319-65151-4 es
sedici.creator.person Illescas Espinoza, Wilmer Henry es
sedici.creator.person Fernández, Alejandro es
sedici.creator.person Torres, Diego es
sedici.description.note IFIP Advances in Information and Communication Technology, vol. 506. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Laboratorio de Investigación y Formación en Informática Avanzada es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution 4.0 International (CC BY 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by/4.0/
sedici.date.exposure 2017
sedici.relation.event Working Conference on Virtual Enterprises (PRO-VE 2017) es
sedici.relation.bookTitle Collaboration in a Data-Rich World. PRO-VE 2017 es


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Creative Commons Attribution 4.0 International (CC BY 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 4.0 International (CC BY 4.0)