Schema Evolution publication categorizer

The growing use of XML mark-up language has made a large amount of heterogeneous XML documents widely available. As the number of applications that utilize heterogeneous XML documents grows, the importance of XML documents transformations increases greatly. A serious obstacle for translating directly between two XML documents, using languages like XSLT, is that a mapping between the two XML representations needs to be carefully specified by a human expert. Current research attempts to address this problem by proposing algorithms to automate aspects of XML schemas matching task.

Structured document content reuse is the problem of restructuring
and translating data structured under a source schema into an
instance of a target schema. A notion closely tied with structured
document reuse is that of structure transformations. Schema
matching is a critical strep in structured document
transformations. Manual matching is expensive and error-prone. It
is therefore important to develop techniques to automate the
matching process and thus the transformation process. In this
paper, we contributed in both understanding the matching