煤矿巷道支护领域知识图谱构建

吴雪峰, 赵志凯, 王莉, 翟勃, 王卫龙

吴雪峰，赵志凯，王莉，等.煤矿巷道支护领域知识图谱构建［J］.工矿自动化，2019,45（6）：42-46.. DOI: 10.13272/j.issn.1671-251x.2019030013
引用本文: 吴雪峰，赵志凯，王莉，等.煤矿巷道支护领域知识图谱构建［J］.工矿自动化，2019,45（6）：42-46.. DOI: 10.13272/j.issn.1671-251x.2019030013
shu
WU Xuefeng, ZHAO Zhikai, WANG Li, ZHAI Bo, WANG Weilong. Construction of knowledge graph of coal mine roadway support field[J]. Journal of Mine Automation, 2019, 45(6): 42-46. DOI: 10.13272/j.issn.1671-251x.2019030013
Citation: WU Xuefeng, ZHAO Zhikai, WANG Li, ZHAI Bo, WANG Weilong. Construction of knowledge graph of coal mine roadway support field[J]. Journal of Mine Automation, 2019, 45(6): 42-46. DOI: 10.13272/j.issn.1671-251x.2019030013
shu

煤矿巷道支护领域知识图谱构建

  • 1.

    中国矿业大学 徐海学院， 江苏 徐州221008

  • 2.

    中国矿业大学 物联网感知矿山）研究中心， 江苏 徐州221008

  • 3.

    中国矿业大学 矿山互联网应用技术国家地方联合工程实验室， 江苏 徐州221008

  • 4.

    中国矿业大学 力学与土木工程学院， 江苏 徐州221116

  • 5.

    山东能源淄博矿业集团有限责任公司 信息中心， 山东 淄博255100

基金项目: 

国家重点研发计划资助项目（2017YFC0804401）

详细信息

  • 中图分类号: TD79

Construction of knowledge graph of coal mine roadway support field

  • 1.

    Xuhai College, China University of Mining and Technology, Xuzhou 221008, China

  • 2.

    Internet of Things (Perception Mine) Research Center, China University of Mining and Technology, Xuzhou 221008, China

  • 3.

    The National and Local Joint Engineering Laboratory of Internet Application Technology on Mine, China University of Mining and Technology, Xuzhou 221008, China

  • 4.

    School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China

  • 5.

    Information Center, Shandong Energy Zibo Mining Group Co., Ltd., Zibo 255100, China

摘要

    摘要
  • 摘要: 针对煤矿巷道支护专家系统知识内容有限、知识难以融合共享、无法从非结构化数据中挖掘相关知识等问题，构建了煤矿巷道支护领域知识图谱。首先通过设计领域概念、关系及属性对煤矿巷道支护领域知识建模；然后从煤矿巷道支护领域结构化、半结构化、非结构化数据源获取知识，并基于深度学习模型BI-LSTM-CRF进行实体识别；最后利用图数据库Neo4j存储煤矿巷道支护领域知识，形成煤矿巷道支护领域知识图谱。煤矿巷道支护领域知识图谱可进一步提升煤矿巷道支护设计和管理效率，为煤矿巷道支护智能化管理提供知识支持。
    Abstract: In view of problems of limited knowledge content, difficult knowledge fusion and sharing, and inability to mining related knowledge from unstructured data existed in coal mine roadway support expert system, a knowledge graph of coal mine roadway support field was constructed. Firstly, knowledge of coal mine roadway support field is modeled by designing field concept, relationship and attribute. Then, knowledge is acquired from structured, semi-structured and unstructured data sources of coal mine roadway support field, and entity recognition is carried out based on deep learning model BI-LSTM-CRF. Finally, knowledge graph of coal mine roadway support field is formed by using graph database Neo4j to store knowledge of coal mine roadway support field. The knowledge graph of coal mine roadway support field can further improve efficiency of roadway support design and management, and provide knowledge support for intelligent management of coal mine roadway support.
    • HTML全文
    • 参考文献(0)
    • 相关文章
    • 施引文献(12)

  • 期刊类型引用(2)

    1. 张蔚，王家乐，梁惺彦，杨泽贤. 混合励磁轴向磁通切换永磁电机全速域无位置传感器控制. 中国电机工程学报. 2021(13): 4646-4656 . 百度学术
    2. 杨煜，赵河明，彭志凌，夏禹，王英. 制导火箭弹一维稳定平台控制系统设计与分析. 兵器装备工程学报. 2021(10): 53-59 . 百度学术

    其他类型引用(10)

    • 资源附件(0)
计量
  • 文章访问数:  128
  • HTML全文浏览量:  21
  • PDF下载量:  26
  • 被引次数: 12
出版历程
  • 刊出日期:  2019-06-19

目录

摘要
HTML全文
    参考文献(0)
    相关文章
    施引文献(12)
    资源附件(0)

    /

    返回文章
    返回

    苏ICP备 05016349号-2

    本系统由 北京仁和汇智信息技术有限公司 开发  访问量：1254111    百度统计