Towards an Error-Tolerant Construction of ℒK - Ontologies from Data using Formal Concept Analysis

In the work of Baader and Distel, a method has been proposed to axiomatize all general concept inclusions (GCIs) expressible in the description logic ℰℒK and valid in a given interpretation ℐ. This provides us with an effective method to learn ℰℒK-ontologies from interpretations. In this work, we want to extend this approach in the direction of handling errors, which might be present in the data-set.
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Towards an Error-Tolerant Construction of ℒK - Ontologies from Data using Formal Concept Analysis