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- W2406288164 abstract "For the validation of ontologies, test cases can be applied. In order to ease the acquisition of such test cases, automatic methods can be used. This paper introduces such an approach to unit testing of ontologies using subgroup discovery methods. The tests are given by small ontologies, which will be com- pared to an existing ontology. The generation of the test ontologies uses subgroup discovery methods to derive concepts and relations from real data which refers to the ontology. For each concept of the ontology, we apply subgroup discovery in order to identify subgroup patterns consisting of concepts that are (un-)correlated with the target concept. Then, subgroups with very high (or low) confidence will be selected for the testing ontology. We exemplify the approach using real-world data from the ophthalmology domain, and present first results and experiences of a case study demonstrating the test case generation process." @default.
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- W2406288164 date "2015-01-01" @default.
- W2406288164 modified "2023-09-24" @default.
- W2406288164 title "Subgroup Discovery as a Method for Generating Test Ontologies" @default.
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