基于Deep Web的模式匹配算法研究  

Research of schema matching algorithm based on Deep Web

作　　者：段晓飞[1] 张素智[1] 马红[1] 

机构地区：[1]郑州轻工业学院计算机与通信工程学院,河南郑州450002

出　　处：《郑州轻工业学院学报（自然科学版）》2008年第3期73-75,89,共4页Journal of Zhengzhou University of Light Industry:Natural Science

摘　　要：依据对Deep Web进行模式匹配查询时主要根据查询接口上属性所出现的具体语义和值的相似度来判断属性是否匹配的原理,针对同一主题下的一组查询接口,根据已知的属性统计信息判断属性之间的匹配关系,提出用关联规则挖掘方法进行Deep Web模式匹配,以实现Web查询接口的自动匹配.实例证明该关联规则挖掘算法是有效的.According as the query to the schema matching of Deep Web, it judged for whether the concrete semantic of their query interfaces are matched with their similitude of their valus. According to the known attribute statistics information to judge the attribute between matching relations, the correlation mining algorithm was proposed for carring on the Deep Web schema matching. It realizes the Web query interfaces automatic matching. The correlation mining algorithm＇ s validity was confirmed by an application example.

关 键 词：DEEP WEB 模式匹配 关联规则挖掘 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]