矿井建设知识图谱构建研究综述

doi:10.3778/j.issn.1002-8331.2205-0409

摘要/Abstract

摘要： 目前矿井建设工作中积累了海量数据，运用知识图谱技术可以挖掘这些动态数据间的复杂联系，为管理矿井数据、实现智慧化矿井建设等研究提供有效帮助。通过文献调研分析了矿井建设知识图谱的构建方法及数据特征，为知识图谱在矿井建设领域的落地应用提供了理论支撑；针对矿井建设领域的非结构化数据，系统地总结了知识抽取、知识融合、知识推理等构造知识图谱核心技术的原理与改进方法；最后分析了未来在矿井建设领域应用知识图谱的落地场景及发展趋势。

关键词: 矿井建设, 知识图谱, 知识抽取, 知识融合, 知识推理

Abstract: At present, massive data have been accumulated in the mine construction work. The use of knowledge graph technology can mine the complex connection between these dynamic data, and provide effective help for the management of mine data and intelligent mine construction. Firstly, this paper analyzes the construction method and data characteristics of mine construction knowledge graph, provides theoretical support for the application of knowledge graph in mine construction, then systematically summarizes the principles and improvement methods of knowledge extraction, knowledge fusion, knowledge reasoning. Finally, it analyzes the application scene and development trend of future knowledge graph in mine construction.

Key words: mine construction, knowledge graph, knowledge extraction, knowledge fusion, knowledge reasoning

邱云飞, 邢浩然, 李刚. 矿井建设知识图谱构建研究综述[J]. 计算机工程与应用, 2023, 59(7): 64-79.

QIU Yunfei, XING Haoran, LI Gang. Summary of Research on Construction of Knowledge Graph for Mine Construction[J]. Computer Engineering and Applications, 2023, 59(7): 64-79.

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