Search (127 results, page 1 of 7)

  • × theme_ss:"Automatisches Indexieren"
  1. Silvester, J.P.: Computer supported indexing : a history and evaluation of NASA's MAI system (1998) 0.06
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    Source
    Encyclopedia of library and information science. Vol.61, [=Suppl.24]
  2. Stankovic, R. et al.: Indexing of textual databases based on lexical resources : a case study for Serbian (2016) 0.03
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    Date
    1. 2.2016 18:25:22
    Series
    Lecture notes in computer science ; 9398
  3. Hodges, P.R.: Keyword in title indexes : effectiveness of retrieval in computer searches (1983) 0.02
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    Abstract
    A study was done to test the effectiveness of retrieval using title word searching. It was based on actual search profiles used in the Mechanized Information Center at Ohio State University, in order ro replicate as closely as possible actual searching conditions. Fewer than 50% of the relevant titles were retrieved by keywords in titles. The low rate of retrieval can be attributes to three sources: titles themselves, user and information specialist ignorance of the subject vocabulary in use, and to general language problems. Across fields it was found that the social sciences had the best retrieval rate, with science having the next best, and arts and humanities the lowest. Ways to enhance and supplement keyword in title searching on the computer and in printed indexes are discussed.
    Date
    14. 3.1996 13:22:21
  4. Newman, D.J.; Block, S.: Probabilistic topic decomposition of an eighteenth-century American newspaper (2006) 0.02
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    Date
    22. 7.2006 17:32:00
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.6, S.753-767
  5. Milstead, J.L.: Thesauri in a full-text world (1998) 0.02
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    Date
    22. 9.1997 19:16:05
    Imprint
    Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science
    Source
    Visualizing subject access for 21st century information resources: Papers presented at the 1997 Clinic on Library Applications of Data Processing, 2-4 Mar 1997, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign. Ed.: P.A. Cochrane et al
  6. Ward, M.L.: ¬The future of the human indexer (1996) 0.02
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    Date
    9. 2.1997 18:44:22
    Source
    Journal of librarianship and information science. 28(1996) no.4, S.217-225
  7. Plaunt, C.; Norgard, B.A.: ¬An association-based method for automatic indexing with a controlled vocabulary (1998) 0.02
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    Date
    11. 9.2000 19:53:22
    Source
    Journal of the American Society for Information Science. 49(1998) no.10, S.888-902
  8. Junger, U.; Schwens, U.: ¬Die inhaltliche Erschließung des schriftlichen kulturellen Erbes auf dem Weg in die Zukunft : Automatische Vergabe von Schlagwörtern in der Deutschen Nationalbibliothek (2017) 0.02
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    Abstract
    Wir leben im 21. Jahrhundert, und vieles, was vor hundert und noch vor fünfzig Jahren als Science Fiction abgetan worden wäre, ist mittlerweile Realität. Raumsonden fliegen zum Mars, machen dort Experimente und liefern Daten zur Erde zurück. Roboter werden für Routineaufgaben eingesetzt, zum Beispiel in der Industrie oder in der Medizin. Digitalisierung, künstliche Intelligenz und automatisierte Verfahren sind kaum mehr aus unserem Alltag wegzudenken. Grundlage vieler Prozesse sind lernende Algorithmen. Die fortschreitende digitale Transformation ist global und umfasst alle Lebens- und Arbeitsbereiche: Wirtschaft, Gesellschaft und Politik. Sie eröffnet neue Möglichkeiten, von denen auch Bibliotheken profitieren. Der starke Anstieg digitaler Publikationen, die einen wichtigen und prozentual immer größer werdenden Teil des Kulturerbes darstellen, sollte für Bibliotheken Anlass sein, diese Möglichkeiten aktiv aufzugreifen und einzusetzen. Die Auswertbarkeit digitaler Inhalte, beispielsweise durch Text- and Data-Mining (TDM), und die Entwicklung technischer Verfahren, mittels derer Inhalte miteinander vernetzt und semantisch in Beziehung gesetzt werden können, bieten Raum, auch bibliothekarische Erschließungsverfahren neu zu denken. Daher beschäftigt sich die Deutsche Nationalbibliothek (DNB) seit einigen Jahren mit der Frage, wie sich die Prozesse bei der Erschließung von Medienwerken verbessern und maschinell unterstützen lassen. Sie steht dabei im regelmäßigen kollegialen Austausch mit anderen Bibliotheken, die sich ebenfalls aktiv mit dieser Fragestellung befassen, sowie mit europäischen Nationalbibliotheken, die ihrerseits Interesse an dem Thema und den Erfahrungen der DNB haben. Als Nationalbibliothek mit umfangreichen Beständen an digitalen Publikationen hat die DNB auch Expertise bei der digitalen Langzeitarchivierung aufgebaut und ist im Netzwerk ihrer Partner als kompetente Gesprächspartnerin geschätzt.
    Date
    19. 8.2017 9:24:22
  9. Research and development in information retrieval : Proc., Berlin, 18.-20.5.1982 (1983) 0.01
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    Series
    Lecture notes in computer science; vol.146
  10. Garfield, E.; Sher, I.H.: KeyWords Plus: algorithmic derivative indexing (1993) 0.01
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    Source
    Journal of the American Society for Information Science. 44(1993) no.5, S.298-299
  11. Dattola, R.T.: FIRST: Flexible information retrieval system for text (1979) 0.01
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    Source
    Journal of the American Society for Information Science. 30(1979), S.9-14
  12. Bookstein, A.; Swanson, D.R.: Probabilistic models for automatic indexing (1974) 0.01
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    Source
    Journal of the American Society for Information Science. 25(1974), S.312-318
  13. Croft, W.B.: Clustering large files of documents using the single link method (1977) 0.01
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    Source
    Journal of the American Society for Information Science. 28(1977), S.341-344
  14. Garfield, E.; Sager, N.: Mechanical indexing, structural linguistics and information retrieval (1993) 0.01
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    Source
    Journal of information science. 19(1993) no.2, S.164-165
  15. Greiner-Petter, A.; Schubotz, M.; Cohl, H.S.; Gipp, B.: Semantic preserving bijective mappings for expressions involving special functions between computer algebra systems and document preparation systems (2019) 0.01
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    Date
    20. 1.2015 18:30:22
    Footnote
    Beitrag in einem Special Issue: Information Science in the German-speaking Countries.
  16. 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
  17. Salton, G.: ¬A new comparison between conventional indexing (MEDLARS) and automatic text processing (SMART) (1972) 0.01
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    Source
    Journal of the American Society for Information Science. 23(1972), S.75-84
  18. Griffiths, A.; Luckhurst, H.C.; Willett, P.: Using interdocument similarity information in document retrieval systems (1986) 0.01
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    Journal of the American Society for Information Science. 37(1986) no.1, S.3-11
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  20. Thiel, T.J.: Automated indexing of information stored on optical disk electronic document image management systems (1994) 0.01
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Years

Languages

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