Abstract
This paper shows how the use of Galois lattices and formal concept analysis (FCA) can support CBR application designers, in the task of discovering knowledge embedded in the cases. FCA applied on a case library provides an internal sight of the conceptual structure and allows finding patterns, regularities and exceptions among the cases. Moreover, it extracts certain dependence rules between the attributes describing the cases, that will be used to guide the query formulation process.
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