Research on agricultural data mining model based on knowledge graph

TianQing Yang; Fangju Ran; Mengyao Lu; Jingzong Yang

doi:10.1117/12.2635381

6 May 2022 Research on agricultural data mining model based on knowledge graph

TianQing Yang, Fangju Ran, Mengyao Lu, Jingzong Yang

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 1225638 (2022) https://doi.org/10.1117/12.2635381
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

With the development of artificial intelligence technology, knowledge graph has been applied in more and more fields. In this paper, agricultural data is constructed as graph structure data set, and the graph structure is mapped to low dimensional vector space through the first and second order similarity of the graph. The attention mechanism is used to constrain the information propagation in the process of graph convolution, and finally the classification of each data node is obtained by SVM. In the process of information transmission, the accuracy of the model is improved to some extent by effectively utilizing the higher-order information of the graph. Compared with GCN and GAT models, the accuracy of the experiment in this paper is increased by eight percent and four percent.

Citation Download Citation

TianQing Yang, Fangju Ran, Mengyao Lu, and Jingzong Yang "Research on agricultural data mining model based on knowledge graph", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 1225638 (6 May 2022); https://doi.org/10.1117/12.2635381

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available