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. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Lammari, N., Akoka, J., & Comyn-Wattiau, I. (2003). Supporting database evolution: Using ontologies matching. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2817, 284–288. https://doi.org/10.1007/978-3-540-45242-3_27
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