摘要
针对传统本体构建方法耗时耗力且主观依赖性强的问题,提出了一种基于形式概念分析的采煤工作面本体构建方法。该方法可有效地发现领域数据中隐含的概念和概念间的关系,并通过概念格将本体可视化,将新增信息自动地添加到本体中,实现了本体的半自动化更新。实例验证了该方法的有效性。
In view of problem of time-consuming and subjective dependence of traditional ontology construction method,an ontology construction method of coal mining face based on formal concept analysis was proposed.The method can discover concepts implied in domain data and relationship between the concepts effectively,use concept lattice to visualize ontology and add new information to ontology automatically,and realize semi-automatically update of ontology.Experiment proved effectiveness of the proposed method.
出处
《工矿自动化》
北大核心
2017年第1期73-76,共4页
Journal Of Mine Automation
基金
"十二五"山西省科技重大专项项目(20121101001)
山西省中科院科技合作项目(20141101001)
山西省科技攻关项目(20141039)
关键词
煤炭开采
采煤工作面
本体构建
本体更新
半自动化
形式概念分析
概念格
coal mining
coal mining face
ontology construction
ontology update
semi-automation
formal concept analysis
concept lattice