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B. Ganter, R. Wille: Conceptual scaling. In: F. ): Applications of combinatorics and graph theory in the biological and social sciences. Springer, New York 1989, 139–167. B. Ganter, R. Wille: Formal Concept Analysis: mathematical foundations. Springer, Heidelberg 1999. P. Gehring, R. Wille: Semantology: basic methods for knowledge representations. In: H. ): Conceptual structures: inspiration and application. LNAI 4068. Springer, Heidelberg 2006, 215–228. B. Groh: A contextual logic framework based on relational power context families.

6 shows that all regimes between western industrial nations have a high density of transnational references and are directed by their object or aim. For instance, the regime Rhine is active because the nations at the river Rhine wish to clear the water. g. to establish convergent actors’ expectations) have only few transnational references and the involved countries belong to different systems. Such conceptual analysis brought the researchers to the conclusion that the data do not contradict the hypothesis, but they do also not fully support it; on this case more data are needed.

Eklund [DE06] have explored whether several existing well-known diagrammatic reasoning systems (including conceptual graphs) are compatible with Description Logics, which have no diagrammatic form. The main emphasis of this work is the evaluation of spider and constraint diagrams as compared to conceptual graphs can supplement the popularity of Description Logic by providing a principle way of performing diagrammatic reasoning on the Semantic Web. Concept graphs (CKP-method class “12. Contextual Logic” in [Wi06]), as expressions of formal judgments based on knowledge represented by an underlying power context family, form the actual underlying mathematical basis for Conceptual Knowledge Processing in general.

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