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

Authors:
Wei Cheng;Yufang Sun
Affiliations:
Institute of Software, Chinese Academy of Sciences, Beijing, P.R. China;Institute of Software, Chinese Academy of Sciences, Beijing, P.R. China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

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Abstract

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.