摘要： 针对领域知识建模时的模糊性、不确定性与信息查询时的局限性，提出一种基于模糊控制规则的模糊本体模型。利用基于模糊聚类的本体机器学习方法构建模糊控制规则库，通过计算模糊相似矩阵得到模糊概念的语义关联，对词汇相关概念进行语义分析与扩展获取模糊概念间的本质语义关系，实现基于模糊概念属性值的信息查询与语义共用。实验结果表明，该模型在语义查询上有更完善的推理机制，能有效获取语义信息。

关键词: 模糊本体, 规则库, 语义查询, 模糊控制

Abstract: Aiming at fuzziness and indefinability for domain knowledge modeling and limitation for information query, this paper proposes a fuzzy ontology model based on fuzzy control rule. It constructs fuzzy rule base by using ontology machine learning method based on fuzzy clustering, gets semantic relation of fuzzy concept by computing fuzzy similar matrix. The intrinsic semantic relationship can be accessed for semantic analyzing and expanding of glossary relation concept, information query and semantic sharing are realized based on fuzzy concept attribute value. Experimental results show that this model has a better reasoning mechanism in semantic query, and it can get semantic information effectively.

Key words: fuzzy ontology, rule base, semantic query, fuzzy control

中图分类号: 

• TP18