MultiFarm: A benchmark for multilingual ontology matching

Christian Meilicke*, Raúl García-Castro, Fred Freitas, Willem Robert Van Hage, Elena Montiel-Ponsoda, Ryan Ribeiro De Azevedo, Heiner Stuckenschmidt, Ondřej Šváb-Zamazal, Vojtěch Svátek, Andrei Tamilin, Cássia Trojahn, Shenghui Wang

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

63 Citations (Scopus)


In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments between these ontologies. It is based on the OntoFarm dataset, which has been used successfully for several years in the Ontology Alignment Evaluation Initiative (OAEI). By translating the ontologies of the OntoFarm dataset into eight different languages - Chinese, Czech, Dutch, French, German, Portuguese, Russian, and Spanish - we created a comprehensive set of realistic test cases. Based on these test cases, it is possible to evaluate and compare the performance of matching approaches with a special focus on multilingualism.

Original languageEnglish
Pages (from-to)62-68
Number of pages7
JournalJournal of Web Semantics
Publication statusPublished - 1 Jan 2012
Externally publishedYes


  • Benchmarking
  • Data integration
  • Multilingualism
  • Ontology matching


Dive into the research topics of 'MultiFarm: A benchmark for multilingual ontology matching'. Together they form a unique fingerprint.

Cite this