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The DL-Learner is a framework for machine learning in Description Logics (DLs). The goal of DL-Learner is to solve supervised learning tasks and support knowledge engineers in constructing knowledge and learning about the data they created. It allows, among others, to learn class expression in OWL ontologies from examples. It extends Inductive Logic Programming to Descriptions Logics and the Semantic Web.
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