摘要
为了提高模糊本体的推理效率,提出了一种混合式模糊本体推理机框架,通过将模糊本体作为应用对象,同时研究了模糊本体及其表示方法、模糊描述逻辑,并对目前存在的处理模糊本体的推理机进行了剖析。在借鉴Pellet、Jena和fuzzyDL(fuzzy description logic)推理机优点的基础上,引入了规则和描述逻辑推理结合的混合方法,用以实现模糊本体的知识推理,从而提高推理的效率和准确度。通过实例验证了该方法的有效性。
In order to improve the efficiency of the reasoning of fuzzy ontology, a novel hybrid fuzzy ontology reasoner framework is proposed. Taking fuzzy ontology as application object, the problems about fuzzy ontology, fuzzy ontology representation method and fuzzy description logic are emphatically investigated, and the comparative analysis of existing fuzzy ontology reasoners is carried out. By virtue of the advantages of the Pellet, Jena and fuzzyDL （fuzzy description logic）, the mixed meth- ods of rule and description logic reasoning combination is introduced to implement fuzzy ontology knowledge reasoning, conse- quently the efficiency and accuracy of the reasoning is improved. Last the validity of the method is verified with the instance.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第3期1107-1111,1121,共6页
Computer Engineering and Design
基金
国家自然科学基金项目(60972090
61073057)
关键词
模糊本体
知识推理
描述逻辑
推理算法
模糊推理
fuzzy ontology knowledge reasoning description logic reasoning algorithm fuzzy reasoning
