An Automatic and Rapid Knowledge Graph Construction Method of SG-CIM Model

Abstract

The current enterprise-level data model-based knowledge resource classification, intelligent search, and cross-domain knowledge integration and representation are still in their infancy. Existing data models are mainly constructed based on UML, with a relatively complex structure and lack of management or business personnel, making it difficult to establish unified consistency analysis and verification rules. Now based on the data of the existing SG-CIM model of the State Grid Internet Department, a rapid graph construction method is proposed. It mainly constructs a logical rule-based method by combing the logical model with the physical model, which has initially realized the requirements of automatic traceability, made up for the shortcomings of model design, and strengthened the control of data model consistency verification and application implementation. Finally, it can be used to fully support the company's various analysis and recommendation applications based on the unified knowledge graph.