Implementing mapping composition

Implementing mapping composition Mapping composition is a fundamental operation in metadata driven applications. Given a mapping over schemas σ 1 and σ 2 and a mapping over schemas σ 2 and σ 3 , the composition problem is to compute an equivalent mapping over σ 1 and σ 3 . We describe a new composition algorithm that targets practical applications. It incorporates view unfolding. It eliminates as many σ 2 symbols as possible, even if not all can be eliminated. It covers constraints expressed using arbitrary monotone relational operators and, to a lesser extent, non-monotone operators. And it introduces the new technique of left composition. We describe our implementation, explain how to extend it to support user-defined operators, and present experimental results which validate its effectiveness. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The VLDB Journal Springer Journals

Implementing mapping composition

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Publisher
Springer Journals
Copyright
Copyright © 2008 by Springer-Verlag
Subject
Computer Science; Database Management
ISSN
1066-8888
eISSN
0949-877X
D.O.I.
10.1007/s00778-007-0059-9
Publisher site
See Article on Publisher Site

Abstract

Mapping composition is a fundamental operation in metadata driven applications. Given a mapping over schemas σ 1 and σ 2 and a mapping over schemas σ 2 and σ 3 , the composition problem is to compute an equivalent mapping over σ 1 and σ 3 . We describe a new composition algorithm that targets practical applications. It incorporates view unfolding. It eliminates as many σ 2 symbols as possible, even if not all can be eliminated. It covers constraints expressed using arbitrary monotone relational operators and, to a lesser extent, non-monotone operators. And it introduces the new technique of left composition. We describe our implementation, explain how to extend it to support user-defined operators, and present experimental results which validate its effectiveness.

Journal

The VLDB JournalSpringer Journals

Published: Mar 1, 2008

References

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