Schema Evolution publication categorizer

The inter-operability of multiple autonomous and
heterogeneous data sources is an important issue in
many applications such as mediation systems, datawarehouses,
or web-based systems. These systems
provide a view, called a target schema, on the top of
the data sources. Mappings are defined for describing
the way instances of the target schema are derived
from instances of the data sources. The generation of
such mappings is a difficult problem, especially when
the target schema and the source schemas are in XML
format.
In this paper, we propose a framework to
automatically find the mappings for a target schema
given the source schemas and a set of semantic
correspondences. In our framework, the target schema
is decomposed into subtrees. Mappings are first
determined for each subtree, and then combined to
generate the mapping for the whole target schema. The
generated mappings are expressed in a standard
language, such as XQuery or XSLT.