We propose here a method and tool for learning ontologies from data. We rely on Formal Concept Analysis and Relational Concept Analysis to learn concepts, relation between these concepts, and their instances. The learned model is formalised in Description Logic. Since we have access to all learned axioms, the learned model is a white box one. That is, our approach can be integrated into the larger context of Explainable AI (XAI).