The matching of ontologies is a problem solved by many different matching systems using various algorithms. To test different methods or a complete system or to compare the systems among each other a common data set is needed. There are already some benchmarks containing many test scenarios available, but they mainly focus on concept-based matching algorithms or on instance matching (the process of finding similar instances). Instance-based methods cannot be tested sufficiently, because the

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... logies do not contain instances at all or the number of instances is very small. In this poster we introduce a new benchmark, ONTOBI, which makes use of Wikipedia to create a benchmark test series with ontologies that contain many instances.