基于知识图谱的电力行业与外部数据融合研究

Research on Fusion of Electric Power Industry Data and External Data Based on Knowledge Graph

摘要:

针对电力行业与外部多源异构数据融合利用的难题,提出了一种基于知识图谱的内外部数据融合应用思路。通过对现有文本信息提取以及知识图谱构建主流技术路线的分析,提出优化的文本信息提取方案及知识图谱构建方案,实现对多源异构数据融合建模工作的支撑。技术研究成果在某省电力公司开展了工程项目过程管理领域风险识别试点应用,验证了所提技术方案的可行性。

Abstract:

Aiming at the problem of fusion and utilization of electric power industry data and external multi-source heterogeneous data,an application idea of internal and external data fusion based on knowledge graph is proposed. Through the analysis of the existing text information extraction and the mainstream technology route of knowledge map construction,an optimized text information extraction scheme and knowledge map construction scheme are proposed to support the modeling work of multi-source heterogeneous data fusion. A pilot application of risk identification in the field of engineering project process management are carried out in a provincial electric power company,which verifies the feasibility of the proposed technical scheme.