Automatic Construction of Knowledge Graph and Its Application in Electric Power System

被引：2
|
作者：
Tan, Yuanpeng [1 ]
Xu, Huifang [1 ]
Yan, Dong [1 ]
Peng, Guozheng [1 ]
Wang, Fang [1 ]
机构：
[1] China Elect Power Res Inst, Artificial Intelligence Applicat Res Dept, Beijing, Peoples R China
来源：
2021 3RD ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2021) | 2021年
关键词：
knowledge graph; electric power system; power equipment; entity extraction;
D O I：
10.1109/AEEES51875.2021.9403122
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The purpose of introducing the knowledge graph (KG) for electric power system is to make full use of the data information carried by the electric power Internet of Things, to describe the concepts, entities, events, and relationships between them in a structured way, so as to provide a more effective organization, management and cognitive ability of the cross-media big data for electrical power industrial chains. This paper firstly proposed an automatic construction of knowledge graph. And then, the detail information in power equipment inspection application was revealed. Finally, the application directions and future challenges of KG technology was discussed.
引用
收藏
页码：725 / 729
页数：5
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