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

We describe a schema matching algorithm EXSMAL that automates the semantic correspondence discovery between the EDI (Electronic Data Interchange) messages of various standards (EDIFACT, SWIFT…) by using XML Schema as the pivot format. This algorithm takes two schemata of EDI messages as the input, computes the basic similarity between each pair of elements by comparing their textual description and data type.