In the last years, the main orientation of Formal Concept Analysis (FCA) has turned from mathematics towards computer science.
This article provides a review of this new orientation and analyzes
why and how FCA and computer science attracted each other. It discusses
FCA as a knowledge representation formalism using five knowledge
representation principles provided by Davis, Shrobe, and Szolovits
[DSS93]. It then studies how and why mathematics-based researchers got
attracted by computer science. We will argue for continuing this trend
by integrating the two research areas FCA and Ontology Engineering.
The second part of the article discusses three lines of research which
witness the new orientation of Formal Concept Analysis: FCA as a conceptual
clustering technique and its application for supporting the merging
of ontologies; the efficient computation of association rules and the
structuring of the results; and the visualization and management of conceptual
hierarchies and ontologies including its application in an email management system.