CAJ | 학술논문

本体具有较强的知识表达能力,目前已经成为计算机学科的一个研究热点。本体在知识推理方面的能力比较弱,已成为OWL技术推广应用的主要瓶颈。将语义Web规则语言( Semantic Web Rule Language,SWRL)引入到本体中,能大大改善本体的推理能力,从而挖掘出许多新的隐含知识。文中将本体引入到故障树领域中,对如何构建故障树本体及相应的SWRL规则进行了研究。首先采用OWL语言构建故障树领域本体,然后将故障树中事件之间的逻辑关系转化成SWRL规则语言,最后将故障树领域本体和SWRL规则放入JESS推理机中进行推理,能挖掘出故障树中的隐含知识,从而解决系统故障的快速定位。通过实验证明了文中提出方法的可行性和有效性。
본체구유교강적지식표체능력,목전이경성위계산궤학과적일개연구열점。본체재지식추리방면적능력비교약,이성위OWL기술추엄응용적주요병경。장어의Web규칙어언( Semantic Web Rule Language,SWRL)인입도본체중,능대대개선본체적추리능력,종이알굴출허다신적은함지식。문중장본체인입도고장수영역중,대여하구건고장수본체급상응적SWRL규칙진행료연구。수선채용OWL어언구건고장수영역본체,연후장고장수중사건지간적라집관계전화성SWRL규칙어언,최후장고장수영역본체화SWRL규칙방입JESS추리궤중진행추리,능알굴출고장수중적은함지식,종이해결계통고장적쾌속정위。통과실험증명료문중제출방법적가행성화유효성。
Ontology has a strong ability to express knowledge and has become a hot research topic in computer science currently. But on-tology has a weak ability in knowledge reasoning,which makes it a main bottleneck in spreading ontology technology. It will greatly im-prove the ability of reasoning by introducing Semantic Web Rule Language ( SWRL) into ontology,which can gain implicit knowledge. In this paper,introduce ontology into fault tree domain and study how to construct a FT domain ontology and SWRL. First,construct a FT domain ontology by Web Ontology Language. Second,transform the logical relationship among events of FT into SWRL. Finally,put these SWRL rules and the FT ontology into an inference engine JESS. Then new knowledge is produced and it is exploited for the rapid location of system faults. Through the experiment,it proves the correctness and effectiveness of proposed method.