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  1. Bauer, G.: Anwendung des Prinzips der Facettenklassifikation für den Aufbau von Thesauri : Erläutert am Beispiel "Thesaurussystem Chemie" (1967) 0.23
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  2. Bauer, G.: Graphische Darstellung interdisziplinärer Wissensstrukturen (2004) 0.22
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    Abstract
    Die moderne Wissenschaftsentwicklung ist durch eine zunehmende interdisziplinäre (multidisziplinäre) Verflechtung unterschiedlicher Wissensgebiete gekennzeichnet. Neue Erkenntnisse werden immer mehr in den Grenzgebieten zwischen den traditionellen Fachdisziplinen gewonnen. Problembearbeiter, Erfinder und dergl. benötigen also in erster Linie Wissen aus diesen Grenzgebieten oder Wissensteile aus u.U. klassifikatorisch sehr entfernt liegenden Gebieten, um spezielle Probleme lösen zu können. Die Arbeit in interdisziplinären Forschungsgruppen wird dadurch erschwert, dass in den verschiedenen Fachdisziplinen unterschiedliche Ordnungssysteme und Fachterminologien existieren. Auch sind die individuell unterschiedlichen Aspekte, unter denen das zu verarbeitende Wissen betrachtet werden kann ein Hindernis für die gegenseitige Verständigung. Die traditionellen Klassifikationen sind nicht geeignet, um dem multidisziplinären Zustand des Wissens gerecht zu werden. Es wird daher vorgeschlagen, eine disziplinunabhängige Ordung anzuwenden, die durch Anwendung des Kategorien prinzips erreicht werden kann. Die Möglichkeiten der graphischen Methode wird an verschiedenen Beispielen erläutert. Es wird darauf hingewiesen, dass in einer Definition des Begriffs "Wissensorgani sation" auch neuere Erkenntnisse der kognitiven Psychologie, der Neurobiologie und der semantischen Informationstheorie Berücksichtigung finden müssen.
    Pages
    S.15-22
    Source
    Wissensorganisation in kooperativen Lern- und Arbeitsumgebungen: Proceedings der 8. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Regensburg, 9.-11. Oktober 2002. Hrsg.: G. Budin u. H.P. Ohly
  3. Bauer, G.: Visualisierung durch 'geordnete' Strukturbilder des Wissens (Anwendung des Prinzips Facettenklassifikation) (1998) 0.18
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    Abstract
    Die hier vorgeschlagene Art der Visualisierung, die vor allem die Multiaspektivität und die dynamische Struktur von Wissen aufdeckt und transparent gestaltet, wird an drei Beispielen erläutert, die z.T. ungelöste Probleme der Wissensverarbeitung darstellen: die klassifikatorische Kompatibilität von Aussagen aus unterschiedlichen Wissensgebieten die Darstellung und Auswertung von Wissensänderungen, die Selektion Wissen mit dem Ziel einer Problemlösung. Am Beispiel der Lösung einer Erfindungsaufgabe wird die Funktion von Facetten als Ordnungsmittel für die Strukturbilder ausfiihrlich demonstriert
  4. Bauer, G.: ¬Die vielseitigen Anwendungsmöglichkeiten des Kategorienprinzips bei der Wissensorganisation (2006) 0.05
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    Abstract
    Fast alle berühmten Philosophen der letzten Jahrhunderte haben sich mit den allgemeinen Begriffen befasst und sie sehr unterschiedlich formuliert und interpretiert. Eine Auswahl philosophischer Kategorien: - Platon (427-347): Sein, Identität, Verschiedenheit, Veränderung, Beharrung - Aristoteles (384-322): Substanz, Qualität, Quantität, Relation, Ort. Haben, Tun, Leiden - Kant (1724-1804): Qualität, Quantität, Relation, Modalität - Lotze (1891): Ding, Eigenschaft, Tätigkeit, Relation Unter Kategorien versteht man die allgemeinsten Stammbegriffe des Verstandes, unter welchen alle Gegenstände der Erfahrung fallen und von denen die übrigen Begriffe abgeleitet werden können. Für die Informationspraxis sind die ursprünglichen philosophischen Kategorien modifiziert worden.
    Pages
    S.22-33
    Source
    Wissensorganisation und Verantwortung: Gesellschaftliche, ökonomische und technische Aspekte. Proceedings der 9. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Duisburg, 5.-7. November 2004. Hrsg. von H.P. Ohly u.a
  5. Bauer, G.: Strukturbildartige Repräsentation von Wissensänderungen (1995) 0.03
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    Source
    Konstruktion und Retrieval von Wissen: 3. Tagung der Deutschen ISKO-Sektion einschließlich der Vorträge des Workshops "Thesauri als terminologische Lexika", Weilburg, 27.-29.10.1993. Hrsg.: N. Meder u.a
  6. Bauer, G.; Schneider, C.: PADOK-II : Untersuchungen zur Volltextproblematik und zur interpretativen Analyse der Retrievalprotokolle (1990) 0.02
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    Abstract
    Dieser Beitrag baut auf dem Bericht über das methodische Konzept, über die Durchführung und die Ergebnisse der PADOK-II-Retrievaltests auf (Krause/Wormser-Hacker). Hier werden die Ergebnisse von Zusatztests zum Einfluß des Umfangs der zugrundeliegenden Dokumente (Volltext vs. Titel+Abstract) beschrieben, die eine deutliche Beeinträchtigung der Recall-Werte bei reduziertem Dokumentenumfang zeigen. Zur interpretativen Analyse der Retrievalprotokolle werden vor allem die methodische Einbindung, Ansatzpunkte der Analyse und erste Ergebnisse vorgestelt.
  7. Krause, J.; Bauer, G.; Lutz, J.; Roppel, S.; Wolff, C.: WING - The research prototype of a multi-modal materials information system, comprising natural language-, graphical/direct manipulation and knowledge based components (1990) 0.02
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    Source
    Pragmatische Aspekte beim Entwurf und Betrieb von Informationssystemen: Proc. des 1. Int. Symposiums für Informationswissenschaft, Universität Konstanz, 17.-19.10.1990. Hrsg.: J. Herget u. R. Kuhlen
  8. Bauer, G.: Promoting creative processes by a thesaurus-like representation of knowledge structures (1991) 0.01
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  9. Bauer, G.: Semantische Information (1983) 0.01
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    Source
    Wissenschaft und Fortschritt. 33(1983), S.198-199
  10. Bauer, G.: Wissensdarstellung für eine effektive Mensch-Rechner-Interaktion (1985) 0.01
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    Source
    Rechentechnik/Datenverarbeitung. 22(1985) H.2, S.33-35
  11. Bauer, G.: ¬Die Bedeutung der Kategorien als "Ordnungsmittel" in Thesauri und Speichern der elektronischen Datenverarbeitungsanlagen (1968) 0.01
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  12. Bauer, G.: Knowledge structures promoting problem solutions : possibilities of graphic representation of knowledge in thesaurus-like fashion (1989) 0.01
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    Abstract
    Knowledge to be processed for problem solving purposes can best be adapted to the human brain where it is stored in the form of 'concept configurations', by a representation in the manner of a structural diagram. The method discussed here for the graphic representation of knowledge in thesaurus-like fashion (TGW method) promotes the formation of the 'internal problem representation' by transforming the textually available knowledge into a structural diagram-like form. In such a sructural diagram, the concepts of the statements relevant to the problem are preordered with the aid of 'ordering lines' corresponding to the categories (facets) of the knowledge field concerned. In this way an open, discipline-independent ordering system for the knowledge available for the solution of the problem is established, into which even knowledge from quite different disciplines can be integrated. A sort of 'dialogue' between the graphically represented structural diagram of the knowledge available for problem solution and the knowledge stored in the problem's solver memory leads, as more and more knowledge is acquired, to optimization of the structural diagram and thus also to favorable preconditions for the problem-related activation of knowledge in the problem solver's working memory. These structural diagrams of knowledge can also be used as aids toward more effective interaction between man and computer. A typical multidisciplinary problem is used as an example to illustrate the application possibilities of the TGW method