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  • × theme_ss:"Klassifikationstheorie: Elemente / Struktur"
  1. Foskett, A.C.: ¬The future of facetted classification (2000) 0.01
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    Source
    The future of classification. Ed. R. Marcella u. A. Maltby
  2. Maltby, A.; Marcella, R.: Organizing knowledge : the need for system and unity (2000) 0.01
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    Source
    The future of classification. Ed. R. Marcella u. A. Maltby
  3. Farradane, J.E.L.: ¬A scientific theory of classification and indexing : further considerations (1952) 0.01
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    Footnote
    Fortsetzung von: J. Doc. 6(1950) S.83-99.
  4. Qin, J.: Evolving paradigms of knowledge representation and organization : a comparative study of classification, XML/DTD and ontology (2003) 0.01
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    Date
    12. 9.2004 17:22:35
  5. Smiraglia, R.P.: ¬A brief introduction to facets in knowledge organization (2017) 0.01
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    Source
    Dimensions of knowledge: facets for knowledge organization. Eds.: R.P. Smiraglia, u. H.-L. Lee
  6. Ranganathan, S.R.; Gopinath, M.A.: Prolegomena to library classification (1967) 0.01
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    Theme
    Grundlagen u. Einführungen: Allgemeine Literatur
  7. Smiraglia, R.P.: Facets for clustering and disambiguation : the domain discourse of facets in knowledge organization (2017) 0.01
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    Source
    Dimensions of knowledge: facets for knowledge organization. Eds.: R.P. Smiraglia, u. H.-L. Lee
  8. LaBarre, K.: Interrogating facet theory : decolonizing knowledge organization (2017) 0.01
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    Source
    Dimensions of knowledge: facets for knowledge organization. Eds.: R.P. Smiraglia, u. H.-L. Lee
  9. Satija, M.P.; Oh, D.-G.: ¬The DDC and the knowledge categories : Dewey did faceting without knowing it (2017) 0.01
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    Source
    Dimensions of knowledge: facets for knowledge organization. Eds.: R.P. Smiraglia, u. H.-L. Lee
  10. Gnoli, C.: Classifying phenomena : part 3: facets (2017) 0.01
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    Source
    Dimensions of knowledge: facets for knowledge organization. Eds.: R.P. Smiraglia, u. H.-L. Lee
  11. Szostak, R.: Facet analysis without facet indicators (2017) 0.01
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    Source
    Dimensions of knowledge: facets for knowledge organization. Eds.: R.P. Smiraglia, u. H.-L. Lee
  12. Milonas, E.: ¬An examination of facets within search engine result pages (2017) 0.01
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    Source
    Dimensions of knowledge: facets for knowledge organization. Eds.: R.P. Smiraglia, u. H.-L. Lee
  13. References on Integrative level classification (o.J.) 0.01
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    Type
    b
  14. Austin, D.: Citation order and linguistic structure (1976) 0.01
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    Source
    The variety of librarianship. Essays in honor of J. W. Metcalfe. Ed. by W. Boyd Rayward
  15. Broughton, V.: Essential classification (2015) 0.01
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    Theme
    Grundlagen u. Einführungen: Allgemeine Literatur
  16. Quinn, B.: Recent theoretical approaches in classification and indexing (1994) 0.01
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  17. Hjoerland, B.: Classification (2017) 0.01
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  18. Kochar, R.S.: Library classification systems (1998) 0.01
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    Content
    Contents: Preface. 1. Classification systems. 2. Automatic classification. 3. Knowledge classification. 4. Reflections on library classification. 5. General classification schemes. 6. Hierarchical classification. 7. Faceted classification. B. Present methods and future directions. Index.
  19. Kleineberg, M.: Klassifikation (2023) 0.01
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    Abstract
    Dieser Beitrag nimmt eine informationswissenschaftliche Perspektive ein und betrachtet das Phänomen der Klassifikation als Methode und System der Wissensorganisation. Ein Klassifikationssystem wird dabei als Wissensorganisationssystem (engl. knowledge organization system) verstanden, das vor allem im Bereich der Information und Dokumentation zum Einsatz kommt, um dokumentarische Bezugseinheiten (DBE) mit einem kontrollierten Vokabular zu beschreiben (s. Kapitel B 1 Einführung Wissensorganisation). Als eine solche Dokumentationssprache zeichnet sich ein Klassifikationssystem typischerweise durch seine systematische Ordnung aus und dient der inhaltlichen Groberschließung, eignet sich aber auch als Aufstellungssystematik und Hilfsmittel bei der Recherche wie etwa als systematischer Sucheinstieg oder thematischer Filter für Treffermengen. Beim Information Retrieval liegt die Stärke der klassifikatorischen Erschließung durch das hohe Abstraktionsniveau in Überblicks- und Vollständigkeitsrecherchen.
  20. Kaula, P.N.: Canons in analytico-synthetic classification (1979) 0.01
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    Source
    Klassifikation und Erkenntnis II. Proc. der Plenarvorträge und der Sektion 2 u. 3 "Wissensdarstellung und Wissensvermittlung" der 3. Fachtagung der Gesellschaft für Klassifikation, Königstein/Ts., 5.-6.4.1979

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