An Intelligent Question Answering System based on Power Knowledge Graph

被引:7
|
作者
Tang, Yachen [1 ]
Han, Haiyun
Yu, Xianmao [2 ]
Zhao, Jing [2 ]
Liu, Guangyi [1 ]
Wei, Longfei [3 ]
机构
[1] Envis Digital, Redwood City, CA 94065 USA
[2] State Grid Sichuan Elect Power Co, Chengdu, Sichuan, Peoples R China
[3] Hitachi ABB Power Grids, San Jose, CA USA
关键词
Natural language processing; knowledge graph; ontology schema; intelligent reasoning; intelligent question answering system;
D O I
10.1109/PESGM46819.2021.9638018
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 intelligent question answering (IQA) system can accurately capture users' search intention by understanding the natural language questions, searching relevant content efficiently from a massive knowledge-base, and returning the answer directly to the user. Since the IQA system can save inestimable time and workforce in data search and reasoning, it has received more and more attention in data science and artificial intelligence. This article introduced a domain knowledge graph using the graph database and graph computing technologies from massive heterogeneous data in electric power. It then proposed an IQA system based on the electrical power knowledge graph to extract the intent and constraints of natural interrogation based on the natural language processing (NLP) method, to construct graph data query statements via knowledge reasoning, and to complete the accurate knowledge search and analysis to provide users with an intuitive visualization. This method thoroughly combined knowledge graph and graph computing characteristics, realized high-speed multi-hop knowledge correlation reasoning analysis in tremendous knowledge. The proposed work can also provide a basis for the context-aware intelligent question and answer.
引用
收藏
页数:5
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