Fuzzy Ontology Model for Semantic Information Query
Bin Wen · Jisuanji gongcheng · 2010
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.