Exploiting types for improved schema mapping

Authors:
Youngju Son;Hasan Jamil;Farshad Fotouhi
Affiliations:
Wayne State University Detroit, Ml;Wayne State University Detroit, Ml;Wayne State University Detroit, Ml
Venue:
Proceedings of the 2007 ACM symposium on Applied computing
Year:
2007

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Abstract

Schema mapping in life sciences is complicated by several factors - heterogeneity and non-standard naming of scientific objects. Traditional mapping techniques fail completely in many instances. This article suggests that exploiting type information and heuristic layout mining help map schemas in life science applications. In some cases, this method appears to be only approach that makes mapping possible in this area.