Research Article
Research on Fusion of Electric Power Industry and External Data Based on Knowledge Map
@INPROCEEDINGS{10.4108/eai.2-12-2022.2327981, author={Libo Fan and Yi Wang and Xiang Fang and Jian Jiang}, title={Research on Fusion of Electric Power Industry and External Data Based on Knowledge Map}, proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={ICICA}, year={2023}, month={3}, keywords={knowledge map; electric power industry; external data fusion}, doi={10.4108/eai.2-12-2022.2327981} }- Libo Fan
Yi Wang
Xiang Fang
Jian Jiang
Year: 2023
Research on Fusion of Electric Power Industry and External Data Based on Knowledge Map
ICICA
EAI
DOI: 10.4108/eai.2-12-2022.2327981
Abstract
Aiming at the problem of multi-source heterogeneous data fusion and utilization between the power industry and the outside, an application idea of internal and external data fusion based on knowledge map is proposed. Through the analysis of the existing mainstream technical routes of text information extraction and knowledge map construction, this paper puts forward an optimized text information extraction scheme and knowledge map construction scheme, and realizes the support of multi-source heterogeneous data fusion modeling. The research results have been applied in a provincial electric power company for risk identification in the field of engineering project process management, and the feasibility of the proposed technical scheme has been verified.