The Semantic Web as a Platform for Collective Intelligence

Mendoza, Leandro; Zuccarelli, Guido; Díaz, Alicia; Fernández, Alejandro

doi:10.1007/978-3-319-10166-8_22

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Dss and The Semantic Web1

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2017

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“…Mendoza and colleagues [23] studied collaborative decision making using the Semantic Web as a platform. They identified challenges in three areas: the selection of vocabularies, the selection of data sources, and the retrieval and fusion of data.…”

Section: Dss and The Semantic Webmentioning

confidence: 99%

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

Espinoza

Fernández

Torres

2017

Collaboration in a Data-Rich World

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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

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Section: Dss and The Semantic Webmentioning

confidence: 99%