Search (26 results, page 1 of 2)

  • × theme_ss:"Formale Begriffsanalyse"
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. Wille, R.: Begriffliche Wissensverarbeitung in der Wirtschaft (2002) 0.02 
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    Abstract
    Begriffliche Wissensverarbeitung ist einem pragmatischen Wissensverständnis verpflichtet, nach dem menschliches Wissen in einem offenen Prozess menschlichen Denkens, Argumentierens und Kommunizierens entsteht und weiterlebt. Sie gründet sich auf eine mathematische Begriffstheorie, die auf das wechselseitige Zusammenwirken von Formalem und Inhaltlichem ausgerichtet ist. Wie diese theoretische Konzeption in der wirtschaftlichen Praxis zur Wirkung kommt wird erläutert anhand der Kernprozesse des organisationalen Wissensmanagements, d.h. nach G. Probst et al. anhand von Wissensidentifikation, Wissenserwerb, Wissensentwicklung, Wissens(ver)teilung, Wissensnutzung und Wissensbewahrung; jeweils an einem Beispiel wird der Einsatz spezifischer Methoden der Begrifflichen Wissensverarbeitung demonstriert. Abschließend wird auf den prozesshaften Wirkungszusammenhang von Wissenszielen und Wissensbewertungen mit den Kernprozessen aus Sicht der Begrifflichen Wissensverarbeitung eingegangen.
    Source
    Information - Wissenschaft und Praxis. 53(2002) H.3, S.149-160
  2. Kohler-Koch, B.; Vogt, F.: Normen- und regelgeleitete internationale Kooperationen : Formale Begriffsanalyse in der Politikwissenschaft (2000) 0.02 
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    Source
    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  3. Lengnink, K.: Ähnlichkeit als Distanz in Begriffsverbänden (2000) 0.02 
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    Source
    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  4. Prediger, S.: Terminologische Merkmalslogik in der Formalen Begriffsanalyse (2000) 0.02 
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    Source
    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  5. Bartel, H.-G.: Über Möglichkeiten der Formalen Begriffsanalyse in der Mathematischen Archäochemie (2000) 0.01 
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    Source
    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  6. Priss, U.: Faceted information representation (2000) 0.01 
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    Abstract
    This paper presents an abstract formalization of the notion of "facets". Facets are relational structures of units, relations and other facets selected for a certain purpose. Facets can be used to structure large knowledge representation systems into a hierarchical arrangement of consistent and independent subsystems (facets) that facilitate flexibility and combinations of different viewpoints or aspects. This paper describes the basic notions, facet characteristics and construction mechanisms. It then explicates the theory in an example of a faceted information retrieval system (FaIR)
    Date
    22. 1.2016 17:47:06
  7. Ganter, B.: Begriffe und Implikationen (2000) 0.01 
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    Source
    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  8. Strack, H.; Skorsky, M.: Zugriffskontrolle bei Programmsystemen und im Datenschutz mittels Formaler Begriffsanalyse (2000) 0.01 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  9. Burmeister, P.: ConImp - Ein Programm zur Formalen Begriffsanalyse (2000) 0.01 
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    Source
    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  10. Pollandt, S.: Datenanalyse mit Fuzzy-Begriffen (2000) 0.01 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  11. Wille, R.; Zickwolff, M.: Grundlagen einer Triadischen Begriffsanalyse (2000) 0.01 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  12. Lindig, C.; Snelting, G.: Formale Begriffsnalyse im Software Engineering (2000) 0.01 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  13. Rock, T.; Wille, R.: ¬Ein TOSCANA-Erkundungssystem zur Literatursuche (2000) 0.01 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  14. Andelfinger, U.: Inhaltliche Erschließung des Bereichs 'Sozialorientierte Gestaltung von Informationstechnik' : Ein begriffsanalytischer Ansatz (2000) 0.00 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  15. Eschenfelder, D.; Kollewe, W.; Skorsky, M.; Wille, R.: ¬Ein Erkundungssystem zum Baurecht : Methoden der Entwicklung eines TOSCANA-Systems (2000) 0.00 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  16. Großkopf, A.; Harras, G.: Begriffliche Erkundung semantischer Strukturen von Sprechaktverben (2000) 0.00 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  17. Henning, H.J.; Kemmnitz, W.: Entwicklung eines kontextuellen Methodenkonzeptes mit Hilfe der Formalen Begriffsanalyse an Beispielen zum Risikoverständnis (2000) 0.00 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  18. Burmeister, P.; Holzer, R.: On the treatment of incomplete knowledge in formal concept analysis (2000) 0.00 
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    Abstract
    Some possible treatments of incomplete knowledge in conceptual data representation, data analysis and knowledge acquisition are presented. In particular, some ways of conceptual scalings as well as the role of the three-valued KLEENE-logic are briefly investigated. This logic is also one background in attribute exploration, a conceptual tool for knowledge acquisition. For this method a strategy is given to obtain as much of (attribute) implicational knowledge about a given "universe" as possible; and we show how to represent incomplete knowledge in order to be able to pin down the questions still to be answered in order to obtain complete knowledge in this situation
    Series
    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  19. Priss, U.: Formal concept analysis in information science (2006) 0.00 
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  20. 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
    Series
    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence

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