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Wille, R.: Begriffliche Datensysteme als Werkzeuge der Wissenskommunikation (1992) 0.00

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Theme: Information

Wille, R.; Wachter, C.: Begriffsanalyse von Dokumenten (1992) 0.00

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Source: Information und Dokumentation in den 90er Jahren: neue Herausforderung, neue Technologien. Deutscher Dokumentartag 1991, Universität Ulm, 30.9.-2.10.1991. Hrsg.: W. Neubauer u. K.-H. Meier

Scheich, P.; Skorsky, M.; Vogt, F.; Wachter, C.; Wille, R.: Conceptual data systems (1993) 0.00

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Source: Information and classification: concepts, methods and applications. Proceedings of the 16th Annual Conference of the Gesellschaft für Klassifikation, University of Dortmund, April 1-3, 1992. Ed.: O. Opitz u.a

Rusch, A.; Wille, R.: Knowledge spaces and formal concept analysis (1996) 0.00

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Source: Data analysis and information systems, statistical and conceptual approaches: Proceedings of the 19th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Basel, March 8-10, 1995. Ed.: H.-H. Bock u. W. Polasek

Wille, R.: Denken in Begriffen : von der griechischen Philosophie bis zur Künstlichen Intelligenz heute (1993) 0.00

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Theme: Information
Information

Wille, R.: Begriffliche Wissensverarbeitung in der Wirtschaft (2002) 0.00

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Source: Information - Wissenschaft und Praxis. 53(2002) H.3, S.149-160
Theme: Information Resources Management

Eklund, P.; Groh, B.; Stumme, G.; Wille, R.: ¬A conceptual-logic extension of TOSCANA (2000) 0.00
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Abstract

The aim of this paper is to indicate how TOSCANA may be extended to allow graphical representations not only of concept lattices but also of concept graphs in the sense of Contextual Logic. The contextual- logic extension of TOSCANA requires the logical scaling of conceptual and relational scales for which we propose the Peircean Algebraic Logic as reconstructed by R. W. Burch. As graphical representations we recommend, besides labelled line diagrams of concept lattices and Sowa's diagrams of conceptual graphs, particular information maps for utilizing background knowledge as much as possible. Our considerations are illustrated by a small information system about the domestic flights in Austria
Hereth, J.; Stumme, G.; Wille, R.; Wille, U.: Conceptual knowledge discovery and data analysis (2000) 0.00
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Abstract

In this paper, we discuss Conceptual Knowledge Discovery in Databases (CKDD) in its connection with Data Analysis. Our approach is based on Formal Concept Analysis, a mathematical theory which has been developed and proven useful during the last 20 years. Formal Concept Analysis has led to a theory of conceptual information systems which has been applied by using the management system TOSCANA in a wide range of domains. In this paper, we use such an application in database marketing to demonstrate how methods and procedures of CKDD can be applied in Data Analysis. In particular, we show the interplay and integration of data mining and data analysis techniques based on Formal Concept Analysis. The main concern of this paper is to explain how the transition from data to knowledge can be supported by a TOSCANA system. To clarify the transition steps we discuss their correspondence to the five levels of knowledge representation established by R. Brachman and to the steps of empirically grounded theory building proposed by A. Strauss and J. Corbin

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