Research on the Construction of Knowledge Graph for Chinese Pig Industry
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.
pig industryknowledge graphontology constructionindustrial chainknowledge graph construction
国家科技期刊平台
NSTL
万方数据
