Constructing the Power Knowledge graph by Multi-source Electricity Data
Guoyi Jiang, Linhua Su, Haibo Liu, Yang Cao, Rui Sun, Fengxin Diao · 2020
Electricity is an important component of people's lives, and the methods of processing electricity data are also crucial. Currently, electricity data are published on major official and news websites in a distributed and discrete form. Therefore, it is a vital issue to efficiently obtain various types of electricity data for query and utilize. Knowledge graph can provide effective support to solve this point. This paper used the multi-source heterogeneous electricity data, including provincial electricity consumption in 2018 and the statistical data of national industrial electricity consumption in 2018, to construct the corresponding knowledge subgraph, and then merged these two subgraphs to obtain the multi-source power knowledge graph.