Schema Evolution publication categorizer

Recently, schema mapping has found considerable interest in both
research and practice. Determining matching components of database or XML
schemas is needed in many applications, e.g. for e-business and data integra-
tion. In this paper a complete generic solution of the schema mapping problem
is presented. A hybrid semantic schema mapping algorithm which semi-
automatically finds mappings between two data representation schemas is in-
troduced. The algorithm finds mappings based on the hierarchical organization
of the elements of a term dictionary (WordNet) and on the reuse of already
identified matchings. There is also a graphical user interface that allows the
user to parameterize the algorithm in an easy and fast way. Special attention
was paid to the collaboration of the algorithm with a matching management
tool. This collaboration, as proved by the evaluation of the algorithm, resulted
in the creation of a generic system for detecting and managing mappings be-
tween schemas of various types and sizes.