MultiFarm: A benchmark for multilingual ontology matching

Authors:
Christian Meilicke;RaúL GarcíA-Castro;Fred Freitas;Willem Robert Van Hage;Elena Montiel-Ponsoda;Ryan Ribeiro De Azevedo;Heiner Stuckenschmidt;OndřEj ŠVáB-Zamazal;Vojtch SváTek;Andrei Tamilin;CáSsia Trojahn;Shenghui Wang
Affiliations:
University of Mannheim, Germany;Universidad Politécnica de Madrid, Spain;Universidade Federal de Pernambuco, Brazil;Vrije Universiteit Amsterdam, Netherlands;Universidad Politécnica de Madrid, Spain;Universidade Federal de Pernambuco, Brazil;University of Mannheim, Germany;University of Economics, Prague, Czech Republic;University of Economics, Prague, Czech Republic;Fondazione Bruno Kessler, Trento, Italy;INRIA, Grenoble, France;Vrije Universiteit Amsterdam, Netherlands
Venue:
Web Semantics: Science, Services and Agents on the World Wide Web
Year:
2012

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Abstract

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.