Survey of Agricultural Knowledge Graph

被引：4

作者：

Tang, Wentao ^{[1
]}

Hu, Zelin ^{[1
]}

机构：

[1] School of Physics and Electronic Information, Gannan Normal University, Jiangxi, Ganzhou

来源：

Computer Engineering and Applications | 2024年 / 60卷 / 02期

关键词：

agriculture knowledge graph; knowledge extraction; knowledge fusion; knowledge reasoning; ontology;

D O I：

10.3778/j.issn.1002-8331.2305-0203

中图分类号：

学科分类号：

摘要：

Knowledge graphs are a key technology in the era of big data, specifically for knowledge engineering. Utilizing the powerful semantic understanding and knowledge organization capabilities of knowledge graphs, issues such as scattered and disordered agricultural knowledge, and insufficient coverage of knowledge in the construction of modern agriculture can be resolved. Firstly, considering the complexity and specialty of agricultural data, the construction methods and framework of agricultural knowledge graphs are introduced. Secondly, the current domestic and international research status of the four key technologies in the construction of agricultural knowledge graphs-ontology construction, knowledge extraction, knowledge fusion, and knowledge reasoning are reviewed. Furthermore, the systematic applications of agricultural knowledge graphs in decision support, intelligent question-answering systems, and recommendation systems are sorted out. Lastly, several specific instances of agricultural knowledge graphs are presented. Based on the current status of research on agricultural knowledge graphs, prospects for its future research directions are offered. © 2016 Chinese Medical Journals Publishing House Co.Ltd. All rights reserved.

引用

页码：63 / 76

页数：13

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