Search (65 results, page 1 of 4)

  • × theme_ss:"Automatisches Indexieren"
  1. Wolfekuhler, M.R.; Punch, W.F.: Finding salient features for personal Web pages categories (1997) 0.01 
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1147-1156
  2. Franke-Maier, M.: Anforderungen an die Qualität der Inhaltserschließung im Spannungsfeld von intellektuell und automatisch erzeugten Metadaten (2018) 0.01 
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    Abstract
    Spätestens seit dem Deutschen Bibliothekartag 2018 hat sich die Diskussion zu den automatischen Verfahren der Inhaltserschließung der Deutschen Nationalbibliothek von einer politisch geführten Diskussion in eine Qualitätsdiskussion verwandelt. Der folgende Beitrag beschäftigt sich mit Fragen der Qualität von Inhaltserschließung in digitalen Zeiten, wo heterogene Erzeugnisse unterschiedlicher Verfahren aufeinandertreffen und versucht, wichtige Anforderungen an Qualität zu definieren. Dieser Tagungsbeitrag fasst die vom Autor als Impulse vorgetragenen Ideen beim Workshop der FAG "Erschließung und Informationsvermittlung" des GBV am 29. August 2018 in Kiel zusammen. Der Workshop fand im Rahmen der 22. Verbundkonferenz des GBV statt.
  3. Kuhlen, R.: Morphologische Relationen durch Reduktionsalgorithmen (1974) 0.01 
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    Date
    29. 1.2011 14:56:29
  4. Panyr, J.: STEINADLER: ein Verfahren zur automatischen Deskribierung und zur automatischen thematischen Klassifikation (1978) 0.01 
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    Source
    Nachrichten für Dokumentation. 29(1978), S.92-96
  5. Salton, G.; Yang, C.S.: On the specification of term values in automatic indexing (1973) 0.01 
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    Source
    Journal of documentation. 29(1973), S.351-372
  6. Tavakolizadeh-Ravari, M.: Analysis of the long term dynamics in thesaurus developments and its consequences (2017) 0.01 
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    Abstract
    Die Arbeit analysiert die dynamische Entwicklung und den Gebrauch von Thesaurusbegriffen. Zusätzlich konzentriert sie sich auf die Faktoren, die die Zahl von Indexbegriffen pro Dokument oder Zeitschrift beeinflussen. Als Untersuchungsobjekt dienten der MeSH und die entsprechende Datenbank "MEDLINE". Die wichtigsten Konsequenzen sind: 1. Der MeSH-Thesaurus hat sich durch drei unterschiedliche Phasen jeweils logarithmisch entwickelt. Solch einen Thesaurus sollte folgenden Gleichung folgen: "T = 3.076,6 Ln (d) - 22.695 + 0,0039d" (T = Begriffe, Ln = natürlicher Logarithmus und d = Dokumente). Um solch einen Thesaurus zu konstruieren, muss man demnach etwa 1.600 Dokumente von unterschiedlichen Themen des Bereiches des Thesaurus haben. Die dynamische Entwicklung von Thesauri wie MeSH erfordert die Einführung eines neuen Begriffs pro Indexierung von 256 neuen Dokumenten. 2. Die Verteilung der Thesaurusbegriffe erbrachte drei Kategorien: starke, normale und selten verwendete Headings. Die letzte Gruppe ist in einer Testphase, während in der ersten und zweiten Kategorie die neu hinzukommenden Deskriptoren zu einem Thesauruswachstum führen. 3. Es gibt ein logarithmisches Verhältnis zwischen der Zahl von Index-Begriffen pro Aufsatz und dessen Seitenzahl für die Artikeln zwischen einer und einundzwanzig Seiten. 4. Zeitschriftenaufsätze, die in MEDLINE mit Abstracts erscheinen erhalten fast zwei Deskriptoren mehr. 5. Die Findablity der nicht-englisch sprachigen Dokumente in MEDLINE ist geringer als die englische Dokumente. 6. Aufsätze der Zeitschriften mit einem Impact Factor 0 bis fünfzehn erhalten nicht mehr Indexbegriffe als die der anderen von MEDINE erfassten Zeitschriften. 7. In einem Indexierungssystem haben unterschiedliche Zeitschriften mehr oder weniger Gewicht in ihrem Findability. Die Verteilung der Indexbegriffe pro Seite hat gezeigt, dass es bei MEDLINE drei Kategorien der Publikationen gibt. Außerdem gibt es wenige stark bevorzugten Zeitschriften."
  7. Junger, U.: Möglichkeiten und Probleme automatischer Erschließungsverfahren in Bibliotheken : Bericht vom KASCADE-Workshop in der Universitäts- und Landesbibliothek Düsseldorf (1999) 0.01 
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    Date
    23.10.1996 17:26:29
  8. Spitters, M.J.: Adjust : automatische thesauriele ontsluiting van grote hoeveelheden krantenartikelen (1999) 0.01 
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    Source
    Informatie professional. 3(1999) no.10, S.29-31
  9. Knorz, G.: Automatische Indexierung (1994) 0.01 
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    Date
    29. 1.2011 17:56:21
  10. Nicoletti, M.: Automatische Indexierung (2001) 0.01 
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    Date
    29. 9.2017 12:00:04
  11. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.01 
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    Source
    Information processing and management. 22(1986) no.6, S.465-476
  12. Salton, G.: Another look at automatic text-retrieval systems (1986) 0.01 
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    Source
    Communications of the Association for Computing Machinery. 29(1986), S.648-656
  13. Salton, G.; Allan, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine readable texts (1994) 0.01 
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    Date
    16. 8.1998 12:30:29
  14. Hüther, H.: Selix im DFG-Projekt Kascade (1998) 0.01 
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    Date
    25. 8.2000 19:55:29
  15. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.01 
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    Date
    20.10.2000 12:22:23
  16. Hlava, M.M.K.: Automatic indexing : comparing rule-based and statistics-based indexing systems (2005) 0.01 
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    Source
    Information outlook. 9(2005) no.8, S.22-23
  17. Koryconski, C.; Newell, A.F.: Natural-language processing and automatic indexing (1990) 0.00 
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    Indexer. 17(1990), S.21-29
  18. Frants, V.I.; Kamenoff, N.I.; Shapiro, J.: ¬One approach to classification of users and automatic clustering of documents (1993) 0.00 
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    Information processing and management. 29(1993) no.2, S.187-195
  19. Haas, S.; He, S.: Toward the automatic identification of sublanguage vocabulary (1993) 0.00 
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    Information processing and management. 29(1993) no.6, S.721-744
  20. Molto, M.: Improving full text search performance through textual analysis (1993) 0.00 
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    Information processing and management. 29(1993) no.5, S.614-632

Authors

Years

Languages

  • e 33
  • d 28
  • nl 2
  • ja 1
  • ru 1
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Types

  • a 58
  • el 4
  • x 4
  • m 2
  • p 1
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Themes

Classifications