Construction of coal mine accident ontology based on formal concept analysis
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摘要: 为解决煤矿事故知识管理混乱、联动不足等问题，构建了基于形式概念分析的煤矿事故本体。首先分别构建以煤矿领域的主题词表和文本集为数据源的形式背景，并通过并叠置运算得到异构资源的形式背景，然后利用概念格构造工具将形式背景转换为概念格，最后从概念格中抽取概念、属性和实例组织成煤矿事故本体。利用煤矿事故本体对煤矿事故知识进行组织和形式化表示，可实现煤矿事故知识的共享和重用，为煤矿安全预警提供帮助。Abstract: In order to solve problems of management confusion and linkage lack of coal mine accident knowledge, a coal mine accident ontology based on formal concept analysis was constructed. Firstly, formal contexts are separately constructed based on thesaurus and text set of coal mine, and formal context of heterogeneous resources is obtained through apposition-overlap operation. Then the formal context is converted to concept lattice by use of concept lattice construction tool. Finally, concept, attribute and instance are extracted from the concept lattice to form coal mine accident ontology. The coal mine accident ontology can organize and formally express coal mine accident knowledge, and realize sharing and reuse of coal mine accident knowledge, so as to provide help for coal mine safety warning.
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期刊类型引用(3)
1. 马帅. 基于露天煤矿的智能无人驾驶技术应用与研究. 建筑机械. 2025(03): 25-29 . 
百度学术
2. 李博，栾博钰，何玉东. 露天矿山无人驾驶运输效率评估方法. 露天采矿技术. 2024(01): 22-25 . 百度学术
3. 梁明智，柳昆鹏. 基于5G网络的无人驾驶运输技术在兴盛露天煤矿的应用. 露天采矿技术. 2024(03): 32-36 . 百度学术
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