Data integration by bi-directional schema transformation rules

McBrien, P. and Poulovassilis, Alexandra (2003) Data integration by bi-directional schema transformation rules. In: Dayal, U. and Ramamritham, K. and Vijayaraman, T.M. (eds.) Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405). Piscataway, U.S.: IEEE Computer Society, pp. 227-238. ISBN 078037665X.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/ICDE.2003.1260795

Abstract

In this paper we describe a new approach to data integration which subsumes the previous approaches of local as view (LAV) and global as view (GAV). Our method, which we term both as view (BAV), is based on the use of reversible schema transformation sequences. We show how LAV and GAV view definitions can be fully derived from BAV schema transformation sequences, and how BAV transformation sequences may be partially derived from LAV or GAV view definitions. We also show how BAV supports the evolution of both global and local schemas, and we discuss ongoing implementation of the BAV approach within the AutoMed project.

Metadata

Item Type:	Book Section
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Research Centres and Institutes:	Innovation Management Research, Birkbeck Centre for, Bioinformatics, Bloomsbury Centre for (Closed), Birkbeck Knowledge Lab
Depositing User:	Administrator
Date Deposited:	15 Aug 2013 10:06
Last Modified:	09 Aug 2023 12:34
URI:	https://eprints.bbk.ac.uk/id/eprint/8016

Statistics

Archive Staff Only (login required)

Edit/View Item