A model-driven engineering based RCA process for bi-level models elements / meta-elements Application to description logics

Relational Concept Analysis (RCA) facilitates the discovery of new abstractions in data descriptions including relations. A model driven approach for RCA implementation makes possible to deal with most input data (models) simply by configuring the transformation for the chosen input data type (metamodel). Until now, we only applied this approach to one-level models (mainly class models). In this paper we study RCA applied to bi-levels models, which mix elements and meta- elements (class-instance models, e.g. OWL models). We propose a model hybridisation approach to tackle the encoding problems and we provide a case study showing the results obtained on OWL models.

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