The 2002 International Symposium on Information Systems and Engineering (ISE'2002)
Title: Database Reverse
Engineering
Objectives :
In this tutorial we will present a state-of-the-art survey of reverse engineering of databases. This area has been an active theme of research since the first generations of databases. In the Introduction part of the tutorial, the audience will have an historical survey of research activities in the more general field of databases restructuration. The second part of the tutorial will focus on special issues of re-engineering relational databases. We will discuss the analysis of legacy databases and different ways to extract from them an abstraction such as conceptual schema. We will especially examine real databases that are generally optimized and denormalized. The problems include structure understanding, solving naming inconsistencies, and extracting implicit functional dependencies.
Topics :
The motivation
for this tutorial is to present to the audience a comprehensive overview of this important subject and discuss its applications.
Major topics include :
Required
Background and Target Audience:
The
intended audience for the tutorial are users of database systems, expert
researchers and students in databases, or database designers and
administrators. Some background in database theory and
database management systems.
Tutorial Duration :
2-3 Hours.
Method
of Presentation: Transparencies and overhead
projector. Tutorial notes will be made
available.
Presenter: Dr.
Martine Collard
I3S
Laboratory
University
of Nice, Sophia-Antipolis
France
E-mail: mcollard@unice.fr
Biographical Sketch:
Martine Collard leads the Data Mining Group at I3S Laboratory at the University of Nice-Sophia Antipolis (France). She is currently an assistant professor in the Institute of Technology at the University of Nice-Sophia Antipolis. Dr. Collard received her degrees in 1994 from University of Nice, Sophia-Antipolis. She has academic and research interests in databases, data mining and artificial intelligence. Dr. Collard is the author of numerous publications on data mining and database systems.