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Research on the Clustering Method of Agricultural Scientific Data Based on the Author’s Scientific Research Relationship

  • Dingfeng Wu
  • Liyun WangEmail author
  • Jian Wang
  • Hua Zhao
  • Guomin Zhou
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 509)

Abstract

Focusing on semantic parse and bias problems during the clustering process of agricultural scientific data, a clustering method for agricultural scientific data based on author’s scientific research relationship is proposed in this paper. Meanwhile, an assessment algorithm of the scientific research relationship based on co-author ship and authors’ inter-citation is put forward. Finally, the experimental results proved that the proposed clustering method for the agricultural scientific data can effectively improve error classification caused by semantic parse and bias.

Keywords

Scientific data Data clustering Scientific research relationship 

Notes

Acknowledgements

Funding for this research was provided by national science and technology basic conditions platform ‘‘The agricultural science data sharing Centre” (2005DKA31800) and technology Innovation Engineering project of CAAS “Research on agricultural cognitive computing and supercomputing” (CAAS-ASTIP-2016-AII).

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Dingfeng Wu
    • 1
  • Liyun Wang
    • 1
  • Jian Wang
    • 1
  • Hua Zhao
    • 1
  • Guomin Zhou
    • 1
  1. 1.Agricultural Information Institute of CAASBeijingChina

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