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  • × theme_ss:"Automatisches Indexieren"
  • × year_i:[2010 TO 2020}
  1. Weiner, U.: Vor uns die Dokumentenflut oder Automatische Indexierung als notwendige und sinnvolle Ergänzung zur intellektuellen Sacherschließung (2012) 0.00 
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  2. Karpathy, A.; Fei-Fei, L.: Deep visual-semantic alignments for generating image descriptions (2015) 0.00 
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  3. Blank, I.; Rokach, L.; Shani, G.: Leveraging metadata to recommend keywords for academic papers (2016) 0.00 
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  4. Mödden, E.: Inhaltserschließung im Zeitalter von Suchmaschinen und Volltextsuche (2018) 0.00 
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    Source
    B.I.T.online. 21(2018) H.1, S.47-51
  5. Wiesenmüller, H.: Maschinelle Indexierung am Beispiel der DNB : Analyse und Entwicklungmöglichkeiten (2018) 0.00 
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    Abstract
    Der Beitrag untersucht die Ergebnisse des bei der Deutschen Nationalbibliothek (DNB) eingesetzten Verfahrens zur automatischen Vergabe von Schlagwörtern. Seit 2017 kommt dieses auch bei Printausgaben der Reihen B und H der Deutschen Nationalbibliografie zum Einsatz. Die zentralen Problembereiche werden dargestellt und an Beispielen illustriert - beispielsweise dass nicht alle im Inhaltsverzeichnis vorkommenden Wörter tatsächlich thematische Aspekte ausdrücken und dass die Software sehr häufig Körperschaften und andere "Named entities" nicht erkennt. Die maschinell generierten Ergebnisse sind derzeit sehr unbefriedigend. Es werden Überlegungen für mögliche Verbesserungen und sinnvolle Strategien angestellt.
  6. Wiesenmüller, H.: DNB-Sacherschließung : Neues für die Reihen A und B (2019) 0.00 
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    Abstract
    "Alle paar Jahre wird die Bibliothekscommunity mit Veränderungen in der inhaltlichen Erschließung durch die Deutsche Nationalbibliothek konfrontiert. Sicher werden sich viele noch an die Einschnitte des Jahres 2014 für die Reihe A erinnern: Seither werden u.a. Ratgeber, Sprachwörterbücher, Reiseführer und Kochbücher nicht mehr mit Schlagwörtern erschlossen (vgl. das DNB-Konzept von 2014). Das Jahr 2017 brachte die Einführung der maschinellen Indexierung für die Reihen B und H bei gleichzeitigem Verlust der DDC-Tiefenerschließung (vgl. DNB-Informationen von 2017). Virulent war seither die Frage, was mit der Reihe A passieren würde. Seit wenigen Tagen kann man dies nun auf der Website der DNB nachlesen. (Nebenbei: Es ist zu befürchten, dass viele Links in diesem Blog-Beitrag in absehbarer Zeit nicht mehr funktionieren werden, da ein Relaunch der DNB-Website angekündigt ist. Wie beim letzten Mal wird es vermutlich auch diesmal keine Weiterleitungen von den alten auf die neuen URLs geben.)"
  7. Bredack, J.; Lepsky, K.: Automatische Extraktion von Fachterminologie aus Volltexten (2014) 0.00 
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    Source
    ABI-Technik. 34(2014) H.1, S.2-8
  8. Schöning-Walter, C.: Automatische Erschließungsverfahren für Netzpublikationen : zum Stand der Arbeiten im Projekt PETRUS (2011) 0.00 
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    Source
    Dialog mit Bibliotheken. 23(2011) H.1, S.31-36
  9. Keller, A.: Einstellung zur (automatischen) Sacherschließung in deutsch- und englischsprachigen Ländern (2015) 0.00 
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    Source
    Bibliotheksdienst. 49(2015) H.8, S.801-813
  10. Mesquita, L.A.P.; Souza, R.R.; Baracho Porto, R.M.A.: Noun phrases in automatic indexing: : a structural analysis of the distribution of relevant terms in doctoral theses (2014) 0.00 
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  11. 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) 0.00 
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    Date
    20. 1.2015 18:30:22
  12. Malits, A.; Schäuble, P.: ¬Der Digitale Assistent : halbautomatisches Verfahren der Sacherschließung in der Zentralbibliothek Zürich (2014) 0.00 
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    Source
    ABI-Technik. 34(2014) H.3/4, S.132-143
  13. Markoff, J.: Researchers announce advance in image-recognition software (2014) 0.00 
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    Content
    Computer vision specialists said that despite the improvements, these software systems had made only limited progress toward the goal of digitally duplicating human vision and, even more elusive, understanding. "I don't know that I would say this is 'understanding' in the sense we want," said John R. Smith, a senior manager at I.B.M.'s T.J. Watson Research Center in Yorktown Heights, N.Y. "I think even the ability to generate language here is very limited." But the Google and Stanford teams said that they expect to see significant increases in accuracy as they improve their software and train these programs with larger sets of annotated images. A research group led by Tamara L. Berg, a computer scientist at the University of North Carolina at Chapel Hill, is training a neural network with one million images annotated by humans. "You're trying to tell the story behind the image," she said. "A natural scene will be very complex, and you want to pick out the most important objects in the image.""
  14. Cui, H.; Boufford, D.; Selden, P.: Semantic annotation of biosystematics literature without training examples (2010) 0.00 
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  15. Kempf, A.O.: Automatische Indexierung in der sozialwissenschaftlichen Fachinformation : eine Evaluationsstudie zur maschinellen Erschließung für die Datenbank SOLIS (2012) 0.00 
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    Content
    Vgl.: https://edoccluster.cms.hu-berlin.de/docviews/abstract.php?lang=ger&id=39543; http://http://edoc.hu-berlin.de/series/berliner-handreichungen/2012-329/PDF/329.pdf. Vgl. auch den Beitrag in: iwp 64(2013) H.2/3, S. 96-106.
  16. Kasprzik, A.: Automatisierte und semiautomatisierte Klassifizierung : eine Analyse aktueller Projekte (2014) 0.00 
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    Source
    Perspektive Bibliothek. 3(2014) H.1, S.85-110
  17. Munkelt, J.; Schaer, P.; Lepsky, K.: Towards an IR test collection for the German National Library (2018) 0.00 
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    Abstract
    Automatic content indexing is one of the innovations that are increasingly changing the way libraries work. In theory, it promises a cataloguing service that would hardly be possible with humans in terms of speed, quantity and maybe quality. The German National Library (DNB) has also recognised this potential and is increasingly relying on the automatic indexing of their catalogue content. The DNB took a major step in this direction in 2017, which was announced in two papers. The announcement was rather restrained, but the content of the papers is all the more explosive for the library community: Since September 2017, the DNB has discontinued the intellectual indexing of series Band H and has switched to an automatic process for these series. The subject indexing of online publications (series O) has been purely automatical since 2010; from September 2017, monographs and periodicals published outside the publishing industry and university publications will no longer be indexed by people. This raises the question: What is the quality of the automatic indexing compared to the manual work or in other words to which degree can the automatic indexing replace people without a signi cant drop in regards to quality?
  18. Kugler, A.: Automatisierte Volltexterschließung von Retrodigitalisaten am Beispiel historischer Zeitungen (2018) 0.00 
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    Source
    Perspektive Bibliothek. 7(2018) H.1, S.33-54
  19. Kempf, A.O.: Automatische Inhaltserschließung in der Fachinformation (2013) 0.00 
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    Information - Wissenschaft und Praxis. 64(2013) H.2/3, S.96-106
  20. Toepfer, M.; Kempf, A.O.: Automatische Indexierung auf Basis von Titeln und Autoren-Keywords : ein Werkstattbericht (2016) 0.00 
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    Source
    027.7 Zeitschrift für Bibliothekskultur. 4(2016), H.2

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