Zhen Zhang, Huibin Liu, Xuemin Mao, Zhongxu Li, Minmin Sun, Ning Luo
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Knowledge Graph Construction for Electric Power Science and Technology Achievements
The management of power technology requires great effort and cost due to its wide coverage and complex data types. However, under the current technical background of deepening informatization degree, negative effects such as large information redundancy and ambiguous information makes it facing greater challenges. Based on this, this paper proposes to realize the effective management of electric power science and technology information by means of knowledge graph. We use the data of electric power science and technology achievements from 2005 to 2018 to build the knowledge graph through the knowledge graph building platform, so as to provide effective management methods for the management of electric power sci-tech achievements
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