Schema Evolution publication categorizer

Database transformations is a critical task that occurs in many different domains. Schema evolution is
one important class of problems for database transformations. In our work, we use existing technology
and standards (ODMG, OQL, basic schema evolution primitives) to bring flexibility, extensibility and
re-usability to current schema evolution systems, thus allowing the users to conveniently specify any
customized transformation of their choice. We also investigate the re-usabilty of our framework to other
applications beyond schema evolution such as web re-structuring.

Integration of multiple heterogeneous data sources continues to be a critical problem for many application domains and a challenge for researchers world-wide. One aspect of integration is the translation of schema and data across data model boundaries. Researchers in the past have looked at both customized algorithmic approaches as well as generic meta-modeling approaches as viable solutions. We now take the meta-modeling approach the next step-forward.