Schema Evolution publication categorizer

Data transformation problems are very common and are
challenging to implement for large and complex datasets.
We describe a new approach for specifying data mapping
transformations between XML schemas using a
combination of automated schema analysis agents and
selective user interaction. A graphical tool visualises parts
of the two schemas to be mapped and a variety of agents
analyse all or parts of the schema, voting on the likelihood
of matching subsets. The user can confirm or reject
suggestions, or even allow schema matches to be
automatically determined, incrementally building up to a
fully-mapped schema. An implementation of the mapping
specification can then be generated.