GSMA: A structural matching algorithm for schema matching in data warehousing

被引：0
|
作者：
Cheng, W [1 ]
Sun, YF [1 ]
机构：
[1] Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China
来源：
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 2, PROCEEDINGS | 2005年 / 3614卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Schema matching, the problem of finding semantic correspondences between elements of source and warehouse schemas, plays a key role in data warehousing. Currently, schema mapping is largely determined manually by domain experts, thus a labor-intensive process. In this paper, we propose a structural matching algorithm based on semantic similarity propagation. Experimental results on several real-world domains are presented, and show that the algorithm discovers semantic mappings with a high degree of accuracy.
引用
收藏
页码：408 / 411
页数：4
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