关键词: 知识图谱, 全业务统一数据中心, 知识融合, 大数据, 多源数据

Abstract: To solve the problems that the business data in state grid corporation cannot be crossed professionally, and the data resources cannot be intelligently analyzed and managed, this paper proposes a knowledge graph construction method based on the full-service unified data center. On the basis of multi-source data in the full-service unified data center collected by the big data technology, the semantic annotation method is used to extract the knowledge entities, attributions and relations from the structured, semi-structured and unstructured data. The knowledge graph is constructed through the knowledge fusion technology. The accurate result and related information can be returned intelligently according to the user’s search. Experiments show that this method improves the precision and recall rate, and has better intelligent search and analysis ability.

Key words: knowledge graph, full-service data center, knowledge fusion, big data, multi-source data