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

The interoperability of heterogeneous data sources is an important issue
in many applications such as mediation systems or web-based systems. In
these systems, each data source exports a schema and each application defines
a target schema representing its needs. The way instances of the target schema
are derived from the sources is described through mappings. Generating such
mappings is a difficult task, especially when the schemas are semi structured.
In this paper, we propose an approach for mapping generation in an XML context;