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SHI Qinfu, LIU Xiulei, LIU Xuhong, SHENG Liguo, HUANG Zhixian. Research on coal mine safety ontology[J]. Journal of Mine Automation, 2018, 44(3): 42-49. DOI: 10.13272/j.issn.1671-251x.2017100007
Citation: SHI Qinfu, LIU Xiulei, LIU Xuhong, SHENG Liguo, HUANG Zhixian. Research on coal mine safety ontology[J]. Journal of Mine Automation, 2018, 44(3): 42-49. DOI: 10.13272/j.issn.1671-251x.2017100007
shu

Research on coal mine safety ontology

  • 1.

    Data Science and Competitive Intelligence Laboratory, Beijing Information Science and Technology, Beijing 100192, China

  • 2.

    Beijing Key Laboratory of Network Culture and Digital Communications, Beijing 100876, China

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  • Common ontology languages, construction principles and construction methods were summarized. It was considered that constructing coal mine safety ontology should adopt OWL-DL language and the construction method of cyclic acquisition method or seven-step method. Current research status of the coal mine safety ontology was analyzed from aspects of coal mine digging and coal mine disaster event ontology, coal mine safety database query ontology and coal mine safety knowledge concept ontology. Advantages, disadvantages, application scene and construction process of the three coal mine safety ontologies were summarized, and an ontology integration strategy of the above three coal mine safety ontologies was proposed.
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