Schema Evolution publication categorizer

The life of a modern Information System is often characterized by (i) a push toward integration with other systems, and (ii) the evolution of its data management core in response to continuously changing application requirements. Most of the current proposals dealing with these issues from a database perspective rely on the formal notions of mapping and query rewriting. This paper presents the research agenda of ADAM (Advanced Data And Metadata Manager); by harvesting the recent theoretical advances in this area into a unified framework, ADAM seeks to deliver practical solutions to the problems of automatic schema mapping and assisted schema evolution. The evolution of an Information System (IS) reflects the changes occurring in the application reality that the IS is modelling: thus, ADAM exploits ontologies to capture such changes and provide traceability and automated documentation for such evolution. Initial results and immediate benefits of this approach are presented.