Linking and Consuming Agricultural Big Data with Linked Data and KOS - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2015

Linking and Consuming Agricultural Big Data with Linked Data and KOS

Guojian Xian
  • Function : Author
  • PersonId : 996694
Ruixue Zhao
  • Function : Author
  • PersonId : 996695
Xianxue Meng
  • Function : Author
  • PersonId : 996696
Yuantao Kou
  • Function : Author
  • PersonId : 996697
Liang Zhu
  • Function : Author
  • PersonId : 996698

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.
Fichier principal
Vignette du fichier
978-3-319-19620-6_61_Chapter.pdf (1.32 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01420270 , version 1 (20-12-2016)

Licence

Attribution

Identifiers

Cite

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⟩
53 View
108 Download

Altmetric

Share

Gmail Facebook X LinkedIn More