Schema Evolution publication categorizer

Matching hierarchical structures, like taxonomies or web di-
rectories, is the premise for enabling interoperability among heteroge-
nous data organizations. While the number of new matching solutions
is increasing the evaluation issue is still open. This work addresses the
problem of comparison for pairwise matching solutions. A methodology
is proposed to overcome the issue of scalability. A large scale dataset is
developed based on real world case study namely, the web directories of
Google, Looksmart and Yahoo!. Finally, an empirical evaluation is per-
formed which compares the most representative solutions for taxonomy
matching. We argue that the proposed dataset can play a key role in
supporting the empirical analysis for the research effort in the area of
taxonomy matching.