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A Large Scale Taxonomy Mapping Evaluation

Authors: 
Avesani, P.; Giunchiglia, F.; Yatskevich, M.
Year: 
2005
Venue: 
ISWC, 2005

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-

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