摘要
结合数据实例信息和结构信息给出了一种基于属性依赖关系的模式匹配方法,该方法先是根据实例信息计算出各属性间的依赖度,进而建立关系的属性依赖图,依据属性依赖图计算出属性间的依赖结构相似度,最后确定了属性之间相对应的关系.在后面的实验中可以看出其查准率、查全率和一些性能指标与其它方法相比较优.
In this paper,we introduce a method based on attribute dependence,which integrates the data instance information and structure information to supply matching.At first,we calculated the degree of attribute dependence according to the data instance information,and further establish the graph of attribute dependence and calculated the degree of the degree of structure similarity according to the graph of attribute dependence.At last,the paper gets the mapping between attributes according to the degree of structure similarity.Experiments are conducted and the results show that this algorithm is better than other algorithms in various performance metrics.
出处
《微电子学与计算机》
CSCD
北大核心
2011年第12期167-170,174,共5页
Microelectronics & Computer
基金
淮安科技计划项目(HAG09061)
淮阴工学院重点基金项目(HGA0907)
关键词
属性依赖
模式匹配
相似度
attribute dependence
schema matching
similarity