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Matching Multi-lingual Subject Vocabularies

Shenghui Wang20, 21 Contact Information, Antoine Isaac20, 21 Contact Information, Balthasar Schopman20 Contact Information, Stefan Schlobach20 Contact Information and Lourens van der Meij20, 21 Contact Information

(20)  Vrije Universiteit Amsterdam,  
(21)  Koninklijke Bibliotheek, den Haag,  
Abstract
Most libraries and other cultural heritage institutions use controlled knowledge organisation systems, such as thesauri, to describe their collections. Unfortunately, as most of these institutions use different such systems, unified access to heterogeneous collections is difficult. Things are even worse in an international context when concepts have labels in different languages. In order to overcome the multilingual interoperability problem between European Libraries, extensive work has been done to manually map concepts from different knowledge organisation systems, which is a tedious and expensive process.
Within the TELplus project, we developed and evaluated methods to automatically discover these mappings, using different ontology matching techniques. In experiments on major French, English and German subject heading lists Rameau, LCSH and SWD, we show that we can automatically produce mappings of surprisingly good quality, even when using relatively naive translation and matching methods.

Contact Information Shenghui Wang
Email: swang@few.vu.nl

Contact Information Antoine Isaac
Email: aisaac@few.vu.nl

Contact Information Balthasar Schopman
Email: baschopm@few.vu.nl

Contact Information Stefan Schlobach
Email: schlobac@few.vu.nl

Contact Information Lourens van der Meij
Email: lourens@few.vu.nl
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