Meilicke, Christian and García-Castro, Raúl and Freitas, Fred and Robert van Hage, Willem and Montiel-Ponsoda, Elena and Ribeiro de Azevedo, Ryan and Stuckenschmidt, Heiner and Šváb-Zamazal, Ondřej and Svátek, Vojtěch and Tamilin, Andrei and Trojahn, Cássia and Wang, Shenghui Shenghui
MultiFarm: A benchmark for multilingual ontology matching.
In: "Web Semantics: Science, Services and Agents on the World Wide Web", April, 2012.
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.