煤矿巷道支护领域知识图谱构建
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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BILSTM-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。
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.
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.
引文
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[2]康红普,王金华,林健.煤矿巷道支护技术的研究与应用[J].煤炭学报,2010,35(11):1809-1814.KANG Hongpu,WANG Jinhua,LIN Jian.Study and applications of roadway support techniques for coal mines[J].Journal of China Coal Society,2010,35(11):1809-1814.
[3]王帆,赵继云.巷道支护支架液压缸位置闭环控制系统设计[J].工矿自动化,2017,43(10):74-77.WANG Fan,ZHAO Jiyun.Design of closed-loop control system for hydraulic cylinder position of roadway support[J].Industry and Mine Automation,2017,43(10):74-77.
[4]杨仁树,马鑫民,李清,等.煤矿巷道支护方案专家系统及应用研究[J].采矿与安全工程学报,2013,30(5):648-652.YANG Renshu,MA Xinmin,LI Qing,et al.Research on expert system of roadway supporting schemes for coal mine and its application[J].Journal of Mining&Safety Engineering,2013,30(5):648-652.
[5]王连国,陆银龙,孙小康.软岩巷道锚注支护智能设计专家系统及应用[J].采矿与安全工程学报,2016,33(1):1-6.WANG Lianguo,LU Yinlong,SUN Xiaokang.Intelligent expert system for designing bolt-grouting support of soft-rock roadways and its applications[J].Journal of Mining&Safety Engineering,2016,33(1):1-6.
[6]张新蛮.巷道支护专家系统软件的开发与实现[J].中国矿业,2012,21(3):100-102.ZHANG Xinman.Development and implementation of roadway support expert system[J].China Mining Magazine,2012,21(3):100-102.
[7]肖福坤,孙豁然,刘晓军,等.煤矿巷道支护智能决策系统[J].辽宁工程技术大学学报(自然科学版),2004,23(3):293-295.XIAO Fukun,SUN Huoran,LIU Xiaojun,et al.Intelligence decision system for tunnel supporting in coal mine[J].Journal of Liaoning Technical University(Natural Science Edition),2004,23(3):293-295.
[8]张金山,侯殿昆.矿山巷道支护设计专家咨询系统[J].金属矿山,2003(5):7-9.ZHANG Jinshan,HOU Diankun.Expert advisory system for the tunnel support design of underground mine[J].Metal Mine,2003(5):7-9.
[9]李涓子,侯磊.知识图谱研究综述[J].山西大学学报(自然科学版),2017,40(3):454-459.LI Juanzi,HOU Lei.Reviews on knowledge graph research[J].Journal of Shanxi University(Natural Science Edition),2017,40(3):454-459.
[10]刘峤,李杨,段宏,等.知识图谱构建技术综述[J].计算机研究与发展,2016,53(3):582-600.LIU Qiao,LI Yang,DUAN Hong,et al.Knowledge graph construction techniques[J].Journal of Computer Research and Development,2016,53(3):582-600.
[11]邓志鸿,唐世渭,张铭,等.Ontology研究综述[J].北京大学学报(自然科学版),2002,38(5):730-738.DENG Zhihong,TANG Shiwei,ZHANG Ming,et al.Overview of Ontology[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2002,38(5):730-738.
[12]GRUBER T R.A translation approach to portable ontology specifications[J].Knowledge Acquisition,1993,5(2):199-220.
[13]任飞亮,沈继坤,孙宾宾,等.从文本中构建领域本体技术综述[J].计算机学报,2019,42(3):654-676.REN Feiliang,SHEN Jikun,SUN Binbin,et al.Areview for domain ontology construction from text[J].Chinese Journal of Computers,2019,42(3):654-676.
[14]马良荔,孙煜飞,柳青.语义Web中的本体匹配研究[J].计算机应用研究,2017,34(5):1287-1292.MA Liangli,SUN Yufei,LIU Qing.Research on ontology matching on semantic Web[J].Application Research of Computers,2017,34(5):1287-1292.
[15]LAMPLE G,BALLESTEROS M,SUBRAMANIANS,et al.Neural architectures for named entity recognition[C]//Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies,San Diego,2016:260-270.