With the rapid development of the Artificial Intelligence industry,a large number of industrial policies for Artificial Intelligence have been introduced at the national policy level.Therefore,this paper proposes a Knowledge Graph construction method of Artificial Intelligence policies based on semantic analysis.Firstly,it extracts entity relationship triples according to semantic role labeling and dependency syntactic relationship.Secondly,it uses the ChatGLM-6B Large Language Model to identify the policy objects in the policies for knowledge screening.Thirdly,it calculates the cosine similarity of the relationship vocabulary to fuse and align the relationship to achieve knowledge fusion.Finally,the two application fields of entity relationship query and policy information service are explored.The constructed Knowledge Graph can accurately provide the required policy information to enterprises and other users and improve the utilization efficiency of policy information.
industrial policyKnowledge Graphknowledge extractionLarge Language Model
维普
万方数据
