农业机械学报2024，Vol.55Issue(6)：1-17,17.DOI:10.6041/j.issn.1000-1298.2024.06.001
农业知识图谱技术研究现状与展望
Review of Research Status and Prospects of Agricultural Knowledge Graphs
摘要
Abstract
In the current development process of agricultural informatization,most sub-domains of agriculture face challenges such as dispersed data resources,difficulties in information integration,and low efficiency in knowledge utilization.As an emerging knowledge representation technology in recent years,knowledge graph has demonstrated powerful capabilities in semantic reasoning and data integration in specific agricultural domains.Simultaneously,it has enhanced the performance of some upper-level applications in agriculture.To systematically summarize recent research on the construction and application of knowledge graphs in the agricultural domain,the fundamentals of knowledge graphs and the process of agricultural knowledge graph construction were introduced.Furthermore,it summarized the key technologies involved in constructing an agricultural knowledge graph from four aspects:ontology modeling,information extraction,knowledge fusion,and knowledge processing.Subsequently,an overview of the current applications of agricultural knowledge graphs was provided and discussed in five aspects:information retrieval,question-answering systems,recommendation systems,expert diagnostic systems,and crop prediction.In conclusion,the research status of agricultural knowledge graphs was summarized and it was suggested that future research in agricultural knowledge graphs should explore areas such as multimodal knowledge reasoning,timely knowledge updating,multilingual knowledge queries,cross-domain data fusion,and sub-domain knowledge graph construction.关键词
知识图谱/农业领域/信息检索/问答系统/推荐系统/专家诊断系统/作物预测Key words
knowledge graph/agriculture/information retrieval/question-answering system/recommendation system/expert diagnostic system/crop prediction分类
农业科技引用本文复制引用
侯琛,牛培宇..农业知识图谱技术研究现状与展望[J].农业机械学报,2024,55(6):1-17,17.基金项目
国家自然科学基金项目(62303472) （62303472）
