基于SWRL规则的本体推理研究  

Research on Ontology Reasoning Based on SWRL Rules

作　　者：周亮[1] 黄志球[1] 倪川[1] 

机构地区：[1]南京航空航天大学计算机科学与技术学院,江苏南京210016

出　　处：《计算机技术与发展》2015年第10期67-70,75,共5页Computer Technology and Development

基　　金：国家自然科学基金资助项目(61100034;61170043);中央高校基本科研业务费专项资金(CXZZ11_0218)

摘　　要：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。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.

关 键 词：本体 故障树 语义Web规则语言 推理规则 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]