Linking and Consuming Agricultural Big Data with Linked Data and KOS

文献类型： 外文期刊

第一作者： Xian, Guojian

作者： Xian, Guojian;Zhao, Ruixue;Meng, Xianxue;Kou, Yuantao;Zhu, Liang

作者机构：

关键词： Big Data;Linked Data;Knowledge Organization System (KOS);Semantic Web;Scientific Data

期刊名称：Computer and Computing Technologies in Agriculture VIII

ISSN： 1868-4238

年卷期： 2015 年 452 卷

页码：

收录情况： SCI

摘要： 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.

分类号：

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