Search (415 results, page 1 of 21)

  • × theme_ss:"Automatisches Indexieren"
  1. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.06
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    Date
    20.10.2000 12:22:23
    Language
    d
    Pages
    S.319-339
  2. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.05
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    Date
    14. 6.2015 22:12:44
    Language
    d
    Pages
    S.222-238
  3. Hauer, M.: Automatische Indexierung (2000) 0.05
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    Language
    d
    Pages
    S.203-212
    Source
    Wissen in Aktion: Wege des Knowledge Managements. 22. Online-Tagung der DGI, Frankfurt am Main, 2.-4.5.2000. Proceedings. Hrsg.: R. Schmidt
  4. Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.05
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    Date
    14. 6.2015 22:12:56
    Language
    d
    Pages
    S.144-162
  5. Hauer, M.: Tiefenindexierung im Bibliothekskatalog : 17 Jahre intelligentCAPTURE (2019) 0.05
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    Language
    d
    Source
    B.I.T.online. 22(2019) H.2, S.163-166
  6. Probst, M.; Mittelbach, J.: Maschinelle Indexierung in der Sacherschließung wissenschaftlicher Bibliotheken (2006) 0.04
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    Date
    22. 3.2008 12:35:19
    Language
    d
    Location
    D
    Source
    Bibliothek: Forschung und Praxis. 30(2006) H.2, S.168-176
  7. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.04
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    Source
    Information processing and management. 22(1986) no.6, S.465-476
  8. Lepsky, K.; Vorhauer, J.: Lingo - ein open source System für die Automatische Indexierung deutschsprachiger Dokumente (2006) 0.03
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    Date
    24. 3.2006 12:22:02
    Language
    d
    Source
    ABI-Technik. 26(2006) H.1, S.18-28
  9. Glaesener, L.: Automatisches Indexieren einer informationswissenschaftlichen Datenbank mit Mehrwortgruppen (2012) 0.03
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    Date
    11. 9.2012 19:43:22
    Language
    d
    Pages
    III, 34, VII S
  10. Kasprzik, A.: Voraussetzungen und Anwendungspotentiale einer präzisen Sacherschließung aus Sicht der Wissenschaft (2018) 0.03
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    Abstract
    Große Aufmerksamkeit richtet sich im Moment auf das Potential von automatisierten Methoden in der Sacherschließung und deren Interaktionsmöglichkeiten mit intellektuellen Methoden. In diesem Kontext befasst sich der vorliegende Beitrag mit den folgenden Fragen: Was sind die Anforderungen an bibliothekarische Metadaten aus Sicht der Wissenschaft? Was wird gebraucht, um den Informationsbedarf der Fachcommunities zu bedienen? Und was bedeutet das entsprechend für die Automatisierung der Metadatenerstellung und -pflege? Dieser Beitrag fasst die von der Autorin eingenommene Position in einem Impulsvortrag und der Podiumsdiskussion beim Workshop der FAG "Erschließung und Informationsvermittlung" des GBV zusammen. Der Workshop fand im Rahmen der 22. Verbundkonferenz des GBV statt.
    Language
    d
    Location
    D
    Source
    ABI-Technik. 38(2018) H.4, S.332-335
  11. Franke-Maier, M.: Anforderungen an die Qualität der Inhaltserschließung im Spannungsfeld von intellektuell und automatisch erzeugten Metadaten (2018) 0.03
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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.
    Language
    d
    Location
    D
    Source
    ABI-Technik. 38(2018) H.4, S.327-331
  12. Hlava, M.M.K.: Automatic indexing : comparing rule-based and statistics-based indexing systems (2005) 0.03
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    Source
    Information outlook. 9(2005) no.8, S.22-23
  13. Renz, M.: Automatische Inhaltserschließung im Zeichen von Wissensmanagement (2001) 0.03
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    Date
    22. 3.2001 13:14:48
    Language
    d
    Source
    nfd Information - Wissenschaft und Praxis. 52(2001) H.2, S.69-78
  14. Busch, D.: Domänenspezifische hybride automatische Indexierung von bibliographischen Metadaten (2019) 0.03
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    Language
    d
    Location
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    Source
    B.I.T.online. 22(2019) H.6, S.465-469
  15. Lorenz, S.: Konzeption und prototypische Realisierung einer begriffsbasierten Texterschließung (2006) 0.03
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    Date
    22. 3.2015 9:17:30
    Language
    d
    Pages
    XV, 147 S
  16. Biebricher, N.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬The automatic indexing system AIR/PHYS : from research to application (1988) 0.02
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    Date
    16. 8.1998 12:51:22
    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.513-517.
    Pages
    S.333-342
  17. Kutschekmanesch, S.; Lutes, B.; Moelle, K.; Thiel, U.; Tzeras, K.: Automated multilingual indexing : a synthesis of rule-based and thesaurus-based methods (1998) 0.02
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    Pages
    S.211-224
    Source
    Information und Märkte: 50. Deutscher Dokumentartag 1998, Kongreß der Deutschen Gesellschaft für Dokumentation e.V. (DGD), Rheinische Friedrich-Wilhelms-Universität Bonn, 22.-24. September 1998. Hrsg. von Marlies Ockenfeld u. Gerhard J. Mantwill
  18. Tsareva, P.V.: Algoritmy dlya raspoznavaniya pozitivnykh i negativnykh vkhozdenii deskriptorov v tekst i protsedura avtomaticheskoi klassifikatsii tekstov (1999) 0.02
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    Date
    1. 4.2002 10:22:41
    Source
    Nauchno- Tekhnicheskaya Informatsiya; Series 2. 1999, no.12, S.15-27
  19. Stankovic, R. et al.: Indexing of textual databases based on lexical resources : a case study for Serbian (2016) 0.02
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    Date
    1. 2.2016 18:25:22
    Pages
    S.167-181
  20. Nohr, H.: Grundlagen der automatischen Indexierung : ein Lehrbuch (2003) 0.02
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    Date
    22. 6.2009 12:46:51
    Footnote
    Rez. in: nfd 54(2003) H.5, S.314 (W. Ratzek): "Um entscheidungsrelevante Daten aus der ständig wachsenden Flut von mehr oder weniger relevanten Dokumenten zu extrahieren, müssen Unternehmen, öffentliche Verwaltung oder Einrichtungen der Fachinformation effektive und effiziente Filtersysteme entwickeln, einsetzen und pflegen. Das vorliegende Lehrbuch von Holger Nohr bietet erstmalig eine grundlegende Einführung in das Thema "automatische Indexierung". Denn: "Wie man Information sammelt, verwaltet und verwendet, wird darüber entscheiden, ob man zu den Gewinnern oder Verlierern gehört" (Bill Gates), heißt es einleitend. Im ersten Kapitel "Einleitung" stehen die Grundlagen im Mittelpunkt. Die Zusammenhänge zwischen Dokumenten-Management-Systeme, Information Retrieval und Indexierung für Planungs-, Entscheidungs- oder Innovationsprozesse, sowohl in Profit- als auch Non-Profit-Organisationen werden beschrieben. Am Ende des einleitenden Kapitels geht Nohr auf die Diskussion um die intellektuelle und automatische Indexierung ein und leitet damit über zum zweiten Kapitel "automatisches Indexieren. Hier geht der Autor überblickartig unter anderem ein auf - Probleme der automatischen Sprachverarbeitung und Indexierung - verschiedene Verfahren der automatischen Indexierung z.B. einfache Stichwortextraktion / Volltextinvertierung, - statistische Verfahren, Pattern-Matching-Verfahren. Die "Verfahren der automatischen Indexierung" behandelt Nohr dann vertiefend und mit vielen Beispielen versehen im umfangreichsten dritten Kapitel. Das vierte Kapitel "Keyphrase Extraction" nimmt eine Passpartout-Status ein: "Eine Zwischenstufe auf dem Weg von der automatischen Indexierung hin zur automatischen Generierung textueller Zusammenfassungen (Automatic Text Summarization) stellen Ansätze dar, die Schlüsselphrasen aus Dokumenten extrahieren (Keyphrase Extraction). Die Grenzen zwischen den automatischen Verfahren der Indexierung und denen des Text Summarization sind fließend." (S. 91). Am Beispiel NCR"s Extractor/Copernic Summarizer beschreibt Nohr die Funktionsweise.
    Im fünften Kapitel "Information Extraction" geht Nohr auf eine Problemstellung ein, die in der Fachwelt eine noch stärkere Betonung verdiente: "Die stetig ansteigende Zahl elektronischer Dokumente macht neben einer automatischen Erschließung auch eine automatische Gewinnung der relevanten Informationen aus diesen Dokumenten wünschenswert, um diese z.B. für weitere Bearbeitungen oder Auswertungen in betriebliche Informationssysteme übernehmen zu können." (S. 103) "Indexierung und Retrievalverfahren" als voneinander abhängige Verfahren werden im sechsten Kapitel behandelt. Hier stehen Relevance Ranking und Relevance Feedback sowie die Anwendung informationslinguistischer Verfahren in der Recherche im Mittelpunkt. Die "Evaluation automatischer Indexierung" setzt den thematischen Schlusspunkt. Hier geht es vor allem um die Oualität einer Indexierung, um gängige Retrievalmaße in Retrievaltest und deren Einssatz. Weiterhin ist hervorzuheben, dass jedes Kapitel durch die Vorgabe von Lernzielen eingeleitet wird und zu den jeweiligen Kapiteln (im hinteren Teil des Buches) einige Kontrollfragen gestellt werden. Die sehr zahlreichen Beispiele aus der Praxis, ein Abkürzungsverzeichnis und ein Sachregister erhöhen den Nutzwert des Buches. Die Lektüre förderte beim Rezensenten das Verständnis für die Zusammenhänge von BID-Handwerkzeug, Wirtschaftsinformatik (insbesondere Data Warehousing) und Künstlicher Intelligenz. Die "Grundlagen der automatischen Indexierung" sollte auch in den bibliothekarischen Studiengängen zur Pflichtlektüre gehören. Holger Nohrs Lehrbuch ist auch für den BID-Profi geeignet, um die mehr oder weniger fundierten Kenntnisse auf dem Gebiet "automatisches Indexieren" schnell, leicht verständlich und informativ aufzufrischen."
    Language
    d
    Pages
    153 S

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