Research on the differential discrimination of electric power standards based on knowledge graph

Qian Zheng; Yibo Yong; Wendong Jiang; Xinghui Zhang; Jun Wang; Xiaoxin Gao

doi:10.1117/12.2674744

2 May 2023 Research on the differential discrimination of electric power standards based on knowledge graph

Qian Zheng, Yibo Yong, Wendong Jiang, Xinghui Zhang, Jun Wang, Xiaoxin Gao

Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 126422A (2023) https://doi.org/10.1117/12.2674744
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China

Abstract

With the development of electric power industries, the number of standards has grown rapidly. However, the contents of standard clauses extracted from various fields are often inconsistent. It is difficult for the staff to choose the proper standard clauses in their work. Therefore, it is significant to provide staff with consistent electric power standard clauses. This paper takes the standard documents in the electric power field as the data source, and focuses on how to find out the related but inconstant clauses in the documents. We take advantage of the entity relationships of knowledge graph to get the discrepancies of electric power standard clauses. The experimental results illustrate the good performance of the proposed method in terms of precision and recall. The precision rate is 76.45%, and the recall rate reaches 84.72%. In addition, the proposed approach could also provide a solution to the differential discrimination of standard documents in various industries.

Citation Download Citation

Qian Zheng, Yibo Yong, Wendong Jiang, Xinghui Zhang, Jun Wang, and Xiaoxin Gao "Research on the differential discrimination of electric power standards based on knowledge graph", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 126422A (2 May 2023); https://doi.org/10.1117/12.2674744

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