Mining information from very large databases poses numerous challenges. In fact, systems that can mine such voluminous databases are increasingly desirable. In this context, we propose a generic approach of database summarization that takes into account the user?s interest topic. Innovation in our work consists in the generation of a set of database summaries having different levels of granularity in order to satisfy the user?s expectations.