Abstract
In this paper, we propose a methodology for managing database evolutions by exploiting two ontologies. The first ontology describes the changes occurring in a database application. The second one aims at characterizing techniques and tools useful for database change management. We propose an algorithm performing ontologies matching and its application to identify appropriate techniques and tools for a given database change.
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Lammari, N., Akoka, J., Comyn-Wattiau, I. (2003). Supporting Database Evolution: Using Ontologies Matching. In: Konstantas, D., Léonard, M., Pigneur, Y., Patel, S. (eds) Object-Oriented Information Systems. OOIS 2003. Lecture Notes in Computer Science, vol 2817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45242-3_27
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DOI: https://doi.org/10.1007/978-3-540-45242-3_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40860-4
Online ISBN: 978-3-540-45242-3
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