吉林大学学报（信息科学版）2024，Vol.42Issue(5)：921-929,9.
基于多源数据融合的电建知识图谱构建研究
Research on Construction of Knowledge Graph for Electrical Construction Based on Multi-Source Data Fusion
摘要
Abstract
In order to solve the problem of heterogeneous data from multiple sources encountered by electric power construction companies in the process of transitioning to whole-process consulting business,as well as the challenge of design managers needing to work together remotely due to unforeseen circumstances,it is proposed to construct a knowledge graph by using the enterprise's private cloud as the basic environment and combining the technology of fusion of heterogeneous data from multiple sources.The system optimises the data management process and ensures data consistency and availability by integrating diverse data sources from various provinces and cities across the country.It ultimately realises distributed collaborative management of the whole process of consulting business and significantly improves the core competitiveness of the enterprise.At the same time,it effectively solves the problems of data variety,wide range of sources and diverse and inconsistent protocols,improves data quality and accuracy,and unifies the storage architecture to enhance the overall data management efficiency and decision-making support capabilities.关键词
知识图谱/多源异构数据/数据融合/分布式存储Key words
knowledge graph/multi-source heterogeneous data/data fusion/distributed storage分类
信息技术与安全科学引用本文复制引用
陈正非,席皛,李志勇,杨航,张啸成,张永刚..基于多源数据融合的电建知识图谱构建研究[J].吉林大学学报（信息科学版）,2024,42(5):921-929,9.基金项目
吉林省自然科学基金资助项目(20200201447JC) （20200201447JC）
