BibSonomy publications for /user/stumme/habilitationFri Mar 28 12:11:30 CET 2008Intl. J. Human-Comuter Studies (IJHCS)September3287-325Off to New Shores -- Conceptual Knowledge Discovery and Processing592003analysis habilitation Knowledge myown Processing 2003 OntologyHandbook knowledge concept FCA conceptual formal discovery fca processing Conceptual 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 (1993). 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.Tue Mar 18 14:03:12 CET 2008Intl. J. Human-Computer Studies (IJHCS)September3287-325Off to New Shores -- Conceptual Knowledge Discovery and Processing592003discovery Processing processing Knowledge Conceptual 2003 myown concept fca habilitation conceptual knowledge analysis formal 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 (1993). 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.