[1]周亮,黄志球,倪川. 基于SWRL规则的本体推理研究[J].计算机技术与发展,2015,25(10):67-70.
　ZHOU Liang,HUANG Zhi-qiu,NI Chuan. Research on Ontology Reasoning Based on SWRL Rules[J].,2015,25(10):67-70.
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 基于SWRL规则的本体推理研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年10期
页码:
67-70
栏目:
智能、算法、系统工程
出版日期:
2015-10-10

文章信息/Info

Title:
 Research on Ontology Reasoning Based on SWRL Rules
文章编号:
1673-629X（2015)10-0067-04
作者:
 周亮; 黄志球; 倪川
 南京航空航天大学 计算机科学与技术学院
Author(s):
 ZHOU Liang; HUANG Zhi-qiu; NI Chuan
关键词:
 ; 本体; 故障树; 语义Web规则语言; 推理规则
Keywords:
 ; ontology; fault tree; SWRL;  reasoning rule
分类号:
TP311
文献标志码:
A
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。
Abstract:
 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.

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更新日期/Last Update: 2015-11-12