The complexity of tasks and problems in the management of databases requires the development of tools for supporting database experts. For instance, in the database administration area, when problems occur, the database administrator (DBA) is frequently the first person blamed. Most DBAs work in a fire-fighting mode and have little opportunity to plan ahead or be proactive. They must be constantly ready to analyze and correct failures based on a large set of procedures. In addition, they are continually readjusting these procedures and developing practices to manage a multitude of specific situations that differ from the generic situation by some few contextual elements. These practices have to deal with these contextual elements in order to solve the problem at hand. This paper proposes to use "Contextual Graphs" formalism to improve existing procedures used in database administration. Up to now, this improvement is achieved by a DBA through practices that adapt procedures to the context in which tasks should be performed and the incidents appear. This work present a new version of the contextual graph platform as a basis for designing and implementing a context-based intelligent assistant system for supporting database administrators.
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