A term-based approach for matching multilingual thesauri

نویسندگان

  • Mauro Dragoni
  • Andi Rexha
  • Matteo Casu
  • Alessio Bosca
چکیده

Multilingual thesauri matching is a recent research topic concerning the application of the traditional schema matching algorithms in conjunction with the use of multilingual resources. In this paper, we present a multilingual matching approach aiming at defining matches between terms belonging to multilingual thesauri. The paper presents the approach as a variant of the schema matching problem and discuss its evaluation on (i) domain-specific use cases and (ii) on a standard benchmark, namely MultiFarm benchmark, used for measuring the effectiveness of multilingual ontology matching systems.

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تاریخ انتشار 2014