| 煤矿巷道支护领域知识图谱构建 |
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| 引用本文： | 吴雪峰,赵志凯,王莉,翟勃,王卫龙.煤矿巷道支护领域知识图谱构建[J].工矿自动化,2019(6):42-46. |
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| 作者姓名： | 吴雪峰 赵志凯 王莉 翟勃 王卫龙 |
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| 作者单位： | 中国矿业大学徐海学院;中国矿业大学物联网(感知矿山)研究中心;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;中国矿业大学力学与土木工程学院;山东能源淄博矿业集团有限责任公司信息中心 |
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| 基金项目： | 国家重点研发计划资助项目(2017YFC0804401) |
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| 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。
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| 关 键 词： | 巷道支护 知识图谱 支护专家系统 语义 知识库 |
Construction of knowledge graph of coal mine roadway support field |
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| WU Xuefeng,ZHAO Zhikai,WANG Li,ZHAI Bo,WANG Weilong.Construction of knowledge graph of coal mine roadway support field[J].Industry and Automation,2019(6):42-46. |
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| Authors: | WU Xuefeng ZHAO Zhikai WANG Li ZHAI Bo WANG Weilong |
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| Affiliation: | (Xuhai College, China University of Mining and Technology, Xuzhou 221008, China;Internet of Things (Perception Mine) Research Center, China University of Mining and Technology, Xuzhou 221008, China;The National and Local Joint Engineering Laboratory of Internet Application Technology on Mine, China University of Mining and Technology, Xuzhou 221008, China;School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China;Information Center, Shandong Energy Zibo Mining Group Co., Ltd., Zibo 255100, China) |
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| Abstract: | WU Xuefeng;ZHAO Zhikai;WANG Li;ZHAI Bo;WANG Weilong(Xuhai College, China University of Mining and Technology, Xuzhou 221008, China;Internet of Things (Perception Mine) Research Center, China University of Mining and Technology, Xuzhou 221008, China;The National and Local Joint Engineering Laboratory of Internet Application Technology on Mine, China University of Mining and Technology, Xuzhou 221008, China;School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China;Information Center, Shandong Energy Zibo Mining Group Co., Ltd., Zibo 255100, China) |
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| Keywords: | roadway support knowledge graph support expert system semantics knowledge base |
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