摘要
为了解决关系数据库中关系模式集成中的不确定问题,提出了一个基于领域知识的不确定关系模式集成模型。该模型运用领域知识、语义集成方法和证据组合方法处理模式集成各个阶段的不确定性,并给出了各阶段不确定度的表示和计算方法。文中给出了不确定匹配关系和不确定模式集成的全新定义,提出了一种全局集成模式可信度的计算方法。实例分析证明该模型是可行的,与已知方法相比具有较高的执行效率和较低的时间复杂度。
To resolve the uncertainty of relation schema integration in relation database,a uncertain schema integration model called URSIM(Uncertain relation schema integration model) is proposed based on domain knowledge.Domain knowledge,semantic integration method and proof combination method are applied in the model.Expression and computing methods of uncertain degree are proposed for every phase.New definitions of uncertain matching relation and uncertain schema integration are proposed.A counting method is proposed for reliability of global integrated schema.Experimental results show that the URSIM is feasible.Compared with the existed methods,the model is efficient and can reduce time complexity.
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2010年第4期409-414,共6页
Journal of Nanjing University of Science and Technology
基金
国家自然科学基金(60903027)
江苏省"六大人才高峰"资助项目(90718021)
国家省部级专项先期投入基金(2010XQTR04)
关键词
不确定模式匹配
语义集成
证据组合方法
不确定模式集成
uncertain schema matching
semantic integration
proof combination methods
uncertain schema integration