基于相似度综合的本体自适应映射方法研究  

A Research into Ontology Self-adaptive Mapping Method Based on Composite Similarity

作　　者：谢雄程[1] 刘之家[1] 蓝贞雄[1] 

机构地区：[1]广西师范学院计算机与信息工程学院,广西南宁530001

出　　处：《广西师范学院学报（自然科学版）》2010年第4期100-104,共5页Journal of Guangxi Teachers Education University(Natural Science Edition)

摘　　要：异构数据集成领域大量应用了本体研究方法.该文针对混合本体模型映射存在的不足提出了自适应混合本体模型,通过计算各种不同相似度获得相似度综合的计算方法.提出了自适应映射的定义和计算方法用以解决本体之间是否要进行映射的问题.Ontology research method is applied widely to the field of heterogeneity data integration,but ontologies mapping is always a difficult problem.Therefore,the model of self-adaptive hybrid ontologies is present according to the shortage of hybrid ontologies model.The computing method of composite similarity is achieved by computing several different similarities,and the definition and computing method of self-adaptive mapping are present,which can solve the problem of whether ontologies need mapping.

关 键 词：异构数据 本体 相似度 自适应 

分 类 号：TP311.131[自动化与计算机技术—计算机软件与理论]