Aiming at the problems of current SG-CIM (state grid-common information model) such as difficult to achieve automatic update iteration and low efficient mining of new elements, an SG-CIM model automatic mapping technology based on BERT model and blocking filtering is proposed. On the basis of the existing SG-CIM, an SG-CIM knowledge map and data table knowledge graph are constructed at first. Secondly, by studying the entity alignment method based on BERT model and blocking filtering, the mapping relationship between the two knowledge graphs is established. Finally, the effectiveness of the proposed method is verified by experimental analysis of the text mapping effect. Results show that the accuracy of BERT model after finetuning on a self-made data set is more than 95%. This method lays a foundation for subsequent mining of new elements and automatic updating iteration of SG-CIM.

Knowledge graph  /  SG-CIM model  /  BERT model  /  entity alignment  /  Establish Mapping