Schema Evolution publication categorizer

Many problems in information integration rely on specifications, called schema mappings, that model the relationships between schemas. Schema mappings for both relational and nested data are well-known. In this work, we present a new formalism for schema mapping that extends these existing formalisms in two significant ways. First, our nested mappings allow for nesting and correlation of mappings. This results in a natural programming paradigm that often yields more accurate specifications.

We describe MIDST, an implementation of the model management
operator ModelGen, which translates schemas from one model
to another, for example from OO to SQL or from SQL to XSD. It extends
past approaches by translating database instances, not just their
schemas. The operator can be used to generate database wrappers (e.g.
OO or XML to relational), default user interfaces (e.g. relational to
forms), or default database schemas from other representations. The approach
translates both schemas and data: given a source instance I of a