我国生猪产业知识图谱构建研究  

Research on the Construction of Knowledge Graph for Chinese Pig Industry

作　　者：周峰竹 赵刚[1] ZHOU Fengzhu;ZHAO Gang(School of Information Management,Beijing Information Science and Technology University,Beijing 100192,China)

机构地区：[1]北京信息科技大学信息管理学院,北京100192

出　　处：《现代信息科技》2024年第16期136-140,145,共6页Modern Information Technology

摘　　要：针对中国生猪产业链各环节关联性弱、产业数据碎片化、数据类型复杂多样等问题,文章研究设计了基于知识图谱的生猪产业总体架构。通过分析生猪垂直产业领域、本体设计、数据采集、基于语义角色标注与依存句法分析的知识抽取和词典匹配与相似度匹配相结合的知识融合、基于Neo4j数据库的知识存储六个步骤,构建了生猪产业知识图谱,实现了产业链上各孤立环节的应用关联,为产业知识智能检索与智能辅助决策系统构建提供数据基础,助力中国生猪产业数字化建设。In view of the problems of weak correlation between various links in Chinese pig industry chain,fragmentation of industrial data,and complex and diverse data types,this paper researches and designs the overall architecture of the pig industry based on knowledge graph.Through the six steps of analyzing the vertical industry field of pigs,ontology design,data collection,knowledge extraction based on semantic role annotation and dependency syntax analysis,knowledge fusion combining dictionary matching and similarity matching,and knowledge storage based on Neo4j database,the knowledge graph of pig industry is constructed.It realizes the application correlation of isolated links in the industrial chain,provides a data basis for intelligent retrieval of industrial knowledge and the construction of intelligent auxiliary decision-making systems,and assists the digital construction of Chinese pig industry.

关 键 词：生猪产业 知识图谱 本体构建 产业链 知识图谱构建 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]