计算机工程与应用2024，Vol.60Issue(2)：63-76,14.DOI:10.3778/j.issn.1002-8331.2305-0203
农业知识图谱研究综述
Survey of Agricultural Knowledge Graph
摘要
Abstract
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 scat-tered and disordered agricultural knowledge,and insufficient coverage of knowledge in the construction of modern agri-culture 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 agricul-tural 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.关键词
农业知识图谱/本体/知识抽取/知识融合/知识推理Key words
agriculture knowledge graph/ontology/knowledge extraction/knowledge fusion/knowledge reasoning分类
信息技术与安全科学引用本文复制引用
唐闻涛,胡泽林..农业知识图谱研究综述[J].计算机工程与应用,2024,60(2):63-76,14.基金项目
国家重点研发计划项目(2017YFD0701600) （2017YFD0701600）
赣南师范大学博士科研启动基金(13SJJ202130). （13SJJ202130）
