Construction of Infrastructure Engineering Knowledge Base Based on Semantic Probability Graph and Association Rule
The current conventional infrastructure engineering knowledge base mainly adopts a bottom-up approach to store en-gineering data,which leads to poor data scheduling performance due to the low degree of integration of infrastructure engineer-ing knowledge data.In this regard,the method of constructing infrastructure engineering knowledge base based on semantic probability graph and association rule is proposed.The power grid infrastructure engineering data are converted into event da-ta,association analysis is performed on the data and the infrastructure engineering knowledge graph entity is constructed by combining the association analysis results and semantic probability graph.The deep fusion of infrastructure engineering knowl-edge data is realized by calculating the text lexical similarity,the knowledge graph is reused,and the knowledge base is con-structed by combining the extraction results of knowledge concepts and attributes.In the experiment,the data extraction per-formance of the proposed knowledge base is examined.The experimental results show that the infrastructure engineering knowledge base constructed by the proposed method has a high amount of schedulable engineering resource data per unit time and has a more desirable data scheduling performance.
semantic probability graphassociation ruleinfrastructure engineeringknowledge base
万方数据
维普
