Schema Evolution publication categorizer

Schema matching is an important prerequisite to the
transformation of XML documents with different schemas.
In this work, we are interested in the process of matching
between data schemes in order to transform documents
XML. After explaining related works in the domain, we
choose the EXSMAL Algorithm to generate a set of
correspondences. Then we try to filter this set in order to
obtain 1-1 correspondences. In this purpose, two
calculations of similarity are applied: Path similarity and
internal similarity. This refinement helps to facilitate the
transformation of the documents XML. We also base on a
dynamic ontology updated by a user feedback which
describes the semantic relation between nodes like IsA,
PartOf, Similar, etc. These semantic relations are then
expressed in LIMXS data model. The transformation will
use operations such as: Connect and Rename for the
simple matching, Merge and Split for the complex ones.