Search (14 results, page 1 of 1)

  • × theme_ss:"Formale Begriffsanalyse"
  1. Wille, R.: Concept lattices and conceptual knowledge systems (1992) 0.03
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    Source
    Computers and mathematics with applications. 23(1992), S.493-515
  2. Prediger, S.: Kontextuelle Urteilslogik mit Begriffsgraphen : Ein Beitrag zur Restrukturierung der mathematischen Logik (1998) 0.03
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    Date
    27. 2.1999 16:23:24
    26. 2.2008 15:58:22
  3. Strack, H.; Skorsky, M.: Zugriffskontrolle bei Programmsystemen und im Datenschutz mittels Formaler Begriffsanalyse (2000) 0.02
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    Date
    29.11.1999 16:15:23
  4. Großkopf, A.; Harras, G.: Begriffliche Erkundung semantischer Strukturen von Sprechaktverben (2000) 0.02
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    Date
    29.11.1999 16:23:21
  5. Priss, U.; Old, L.J.: Concept neighbourhoods in knowledge organisation systems (2010) 0.02
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    Source
    Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO Conference, 23-26 February 2010 Rome, Italy. Edited by Claudio Gnoli and Fulvio Mazzocchi
  6. Kaytoue, M.; Kuznetsov, S.O.; Assaghir, Z.; Napoli, A.: Embedding tolerance relations in concept lattices : an application in information fusion (2010) 0.01
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    Pages
    23 S
  7. Negm, E.; AbdelRahman, S.; Bahgat, R.: PREFCA: a portal retrieval engine based on formal concept analysis (2017) 0.01
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    Date
    23. 1.2017 14:06:53
  8. Kollewe, W.: Instrumente der Literaturverwaltung : Inhaltliche analyse von Datenbeständen durch 'Begriffliche Wissensverarbeitung' (1996) 0.00
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    Abstract
    Ein grundsätzliches Problem der Literaturverwaltung besteht darin, daß viele Nutzer der Retrievalsysteme gar nicht genau sagen können, was sie suchen. Erst im Prozeß des erkundenden Suchens lernen sie genauer zu präzisieren, was sie finden wollen. Dieser Lernprozeß wird durch einzelne Suchwörter (Suchwortketten) nur unzureichend unterstützt, weshalb der benutzer häufig unzufrieden mit dem Ergebnis eines solchen Suchprozesses ist. Notwendig sind reichhaltigere Begriffsnetze, die thematisch geordnete Zusammenhänge darstellen und sich flexibel verfeinern, vergröbern oder verändern lassen, um in geeignetem Umfang die wünschenswerte Orientierung liefern zu können. Das Computerprogramm TOSCANA könnte hier weiterhelfen
  9. Wille, R.: Begriffliche Datensysteme als Werkzeuge der Wissenskommunikation (1992) 0.00
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    Source
    Mensch und Maschine: Informationelle Schnittstellen der Kommunikation. Proc. des 3. Int. Symposiums für Informationswissenschaft (ISI'92), 5.-7.11.1992 in Saarbrücken. Hrsg.: H.H. Zimmermann, H.-D. Luckhardt u. A. Schulz
  10. Helmerich, M.: Liniendiagramme in der Wissenskommunikation : eine mathematisch-didaktische Untersuchung (2011) 0.00
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    Abstract
    Die Kommunikation von Wissen nimmt in der modernen Wissensgesellschaft einen entscheidenden Stellenwert ein. Kommunikation im Habermas'schen Sinne eines intersubjektiven Verständigungsprozesses ist dann aber auch mehr als nur der Austausch von Zeichen: es geht um Sinn und Bedeutung und die Aushandlungsprozesse darüber, wie wir als Kommunikationsgemeinschaft Zeichen interpretieren und darin Informationen codieren. Als Medium für solche Kommunikations - prozesse eignen sich besonders gut Liniendiagramme aus der Theorie der Formalen Begriffsanalyse. Diese Liniendiagramme sind nicht nur geeignet, die Wissenskommunikation zu unterstützen, sondern auch Kommunikationsprozesse überhaupt erst zu initiieren. Solche Liniendiagramme können die Wissenskommunikation gut unterstützen, da sie durch ihre Einfachheit, Ordnung, Prägnanz und ergänzende Stimulanz für Verständigung über die wissensgenerierende Information sorgen. Außerdem wird mit den Liniendiagrammen ein Kommunikationsmittel bereitgestellt, dass inter- und transdisziplinär wirksam werden kann und so Wissensgebiete für verschiedene Disziplinen erschließt, da es mit den Diagrammen gelingt, die allgemeine, zugrundeliegende logische Struktur mit Hilfe eines mathematisch fundierten Verfahrens herauszuarbeiten. Liniendiagramme stellen nicht nur Wissensgebiete in einer geordneten, strukturierten Form dar, sondern verwenden dafür auch formale Begriffe und knüpfen damit an Begriffe als Objekte des menschlichen Denkens an. In den Begriffe verschmilzt ein Ausschnitt der betrachteten Objekte (im Beispiel die verschiedenen Gewässerarten) mit den ihnen gemeinsamen Merkmalen zu neuen Denkeinheiten und geben somit dem Wissen eine Form, in der Kommunikation über diese Denkeinheiten und die darin konzentrierte Information ermöglicht wird.
  11. Priss, U.: Formal concept analysis in information science (2006) 0.00
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    Date
    13. 7.2008 19:29:59
  12. Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995) 0.00
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    Source
    Knowledge organization. 22(1995) no.2, S.78-81
  13. Priss, U.: Faceted information representation (2000) 0.00
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    Date
    22. 1.2016 17:47:06
  14. Priss, U.: Faceted knowledge representation (1999) 0.00
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    Date
    22. 1.2016 17:30:31