摘要
针对通过人工方式构建煤矿事故本体存在耗时耗力、具有局限性等问题,提出了一种煤矿事故本体自动构建方法。首先,以煤矿事故案例文本作为数据源,采用BP神经网络自动提取本体概念。然后,通过层次聚类法和关联规则法分别自动提取本体概念间层次关系、非层次关系。最后,利用Protégé本体编辑器对煤矿事故本体概念、概念间关系和实例进行可视化表达,得到煤矿事故本体。自动构建的煤矿事故本体更加全面,可为煤矿安全生产工作提供有力支持。
Aiming at problems of time-consuming, labor-consuming and limitation in constructing coal mine accident ontology by manual means, an automatic construction method of coal mine accident ontology was proposed. Firstly, taking text of coal mine accident case as data source, BP neural network is used to automatically extract ontology concept. Then, hierarchical relationship and non-hierarchical relationship between ontology concepts are automatically extracted by adopting hierarchical clustering method and association rules method. Finally, ontology concepts, relationship between concepts and examples of coal mine accident are visualized by use of Protégé ontology editor, so as to obtain coal mine accident ontology. The coal mine accident ontology by automatic construction is more comprehensive and can provide strong support for coal mine safety production work.
作者
桂冬冬
王向前
李慧宗
GUI Dongdong;WANG Xiangqian;LI Huizong(School of Economics and Management, Anhui University of Science and Technology, Huainan 232001, China;Post-doctoral Station of Management Science and Engineering, Fudan University, Shanghai 200433, China)
出处
《工矿自动化》
北大核心
2019年第9期75-79,共5页
Journal Of Mine Automation
基金
国家自然科学基金资助项目(51474007)
安徽省自然科学基金面上项目(1808085MG221)
关键词
煤矿事故
本体
概念提取
关系提取
层次聚类
关联规则
coal mine accident
ontology
concept extract
relationship extract
hierarchical clustering
association rules
