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Linking and Consuming Agricultural Big Data with Linked Data and KOS

Abstract : This paper gives brief introduction about the big data, linked data and knowledge organization systems (KOS) and their relationships. As the authors mainly focus on the variety and value characteristics of big data, the linked data and KOS technologies are used to link and consume the large amounts of literature and scientific data in agricultural research community. The results show that it is a good way to describe, connect, organize, represent, visualize and access to big data effectively and semantically based on the linked data and KOS technologies.
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https://hal.inria.fr/hal-01420270
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Guojian Xian, Ruixue Zhao, Xianxue Meng, Yuantao Kou, Liang Zhu. Linking and Consuming Agricultural Big Data with Linked Data and KOS. 8th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2014, Beijing, China. pp.546-555, ⟨10.1007/978-3-319-19620-6_61⟩. ⟨hal-01420270⟩

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