Abstract
This paper reports on the first usage of the MultiFarm dataset for evaluating ontology matching systems. This dataset has been designed as a comprehensive benchmark for multilingual ontology matching. In a first set of experiments, we analyze how state-of-the-art matching systems – not particularly designed for the task of multilingual ontology matching – perform on this dataset. These experiments show the hardness of MultiFarm and result in baselines for any algorithm specifically designed for multilingual ontology matching. We continue with a second set of experiments, where we analyze three systems that have been extended with specific strategies to solve the multilingual matching problem. This paper allows us to draw relevant conclusions for both multilingual ontology matching and ontology matching evaluation in general.
Cite
CITATION STYLE
Meilicke, C., Trojahn, C., Šváb-Zamazal, O., & Ritze, D. (2015). Multilingual ontology matching evaluation – a first report on using multifarm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7540, pp. 132–147). Springer Verlag. https://doi.org/10.1007/978-3-662-46641-4_10
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