煤矿装备维护知识图谱构建及应用

曹现刚; 张梦园; 雷卓; 段欣宇; 陈瑞昊

doi:10.13272/j.issn.1671-251x.2020090013

煤矿装备维护知识图谱构建及应用

doi: 10.13272/j.issn.1671-251x.2020090013

曹现刚^{1, 2},
张梦园^{1, 2},
雷卓^{1, 2},
段欣宇^{1, 2},
陈瑞昊^{1, 2}

1.
西安科技大学机械工程学院，陕西西安710054
2.
陕西省矿山机电装备智能监测重点实验室，陕西西安710054

基金项目:

国家自然科学基金重点资助项目(51834006)

国家自然科学基金资助项目(51875451)

详细信息

中图分类号: TD421
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- 被引次数: 0
出版历程
- 刊出日期: 2021-03-20

Construction and application of knowledge graph for coal mine equipment maintenance

CAO Xiangang^{1, 2},
ZHANG Mengyuan^{1, 2},
LEI Zhuo^{1, 2},
DUAN Xinyu^{1, 2},
CHEN Ruihao^{1, 2}

1.
College of Mechanical Engineering, Xi''an University of Science and Technology, Xi''an 710054, China
2.
Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Monitoring, Xi''an 710054, China

摘要

摘要: 利用大数据管理系统对煤矿装备维护信息进行管理缺乏对煤矿装备维护知识的表示能力，没有形成相对完整的煤矿装备维护知识管理体系，无法实现知识挖掘及知识间关系链接，导致大量具有深度挖掘价值的信息不能得到有效利用。针对上述问题，构建了煤矿装备维护知识图谱。首先通过定义煤矿装备维护的关键概念、关系及属性，进行基于本体的知识建模；然后从结构化、半结构化和非结构化数据源中获取知识，通过命名实体识别、关系抽取及事件抽取完成煤矿装备维护知识抽取；最后利用图数据库Neo4j存储煤矿装备维护知识，形成煤矿装备维护知识图谱。煤矿装备维护知识图谱在智能语义搜索、智能问答及可视化决策支持等方面的应用可提高煤矿装备维护知识管理效率，为煤矿装备智能化动态管理的实现提供有力支持。
- 煤矿装备维护 /
- 知识图谱 /
- 知识建模 /
- 知识抽取 /
- 知识存储
Abstract: Using big data management system to manage coal mine equipment maintenance information lacks the ability to express coal mine equipment maintenance knowledge, has not formed a relatively complete coal mine equipment maintenance knowledge management system, and cannot realize knowledge mining and inter-knowledge relationship links, resulting in a large number of information with in-depthmining value cannot be usedeffectively.In order to solve the above problems, a coal mine equipment maintenance knowledge graph is constructed. Firstly, ontology-based knowledge modeling is carried out by defining key concepts, relationships and attributes of coal mine equipment maintenance. Secondly, obtain knowledge from structured, semi-structured and unstructured data sources, and coal mine equipment maintenance knowledge extraction is completed through named entity identification, relationship extraction and event extraction.Finally, the graph databaseNeo4jis used to store coal mine equipment maintenance knowledge and form a coal mine equipment maintenance knowledge graph.The application of coal mine equipment maintenance knowledge graph in intelligent semantic search, intelligent question and answer and visualization decision support can improve the efficiency of coal mine equipment maintenance knowledge management and provide strong support for the realization of intelligent dynamic management of coal mine equipment.
- coal mine equipment maintenance /
- knowledge graph /
- knowledge modeling /
- knowledge extraction /
- knowledge storage