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  1. Rötzer, F.: Psychologen für die Künstliche Intelligenz (2018) 0.05 
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    Date
    21. 1.2018 19:12:56
    22. 1.2018 11:08:27
    Issue
    [21. Januar 2018].
  2. Knoll, A.: Kompetenzprofil von Information Professionals in Unternehmen (2016) 0.03 
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    Date
    27. 1.2016 13:21:54
    28. 7.2016 16:22:54
  3. Kluge, A.; Singer, W.: ¬Das Gehirn braucht so viel Strom wie die Glühbirne (2012) 0.03 
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    Date
    22. 2.2018 18:10:21
  4. 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) 0.03 
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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
  5. Taglinger, H.: Ausgevogelt, jetzt wird es ernst (2018) 0.03 
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    Date
    21. 1.2018 19:12:56
    22. 1.2018 11:38:55
  6. Rötzer, F.: KI-Programm besser als Menschen im Verständnis natürlicher Sprache (2018) 0.02 
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    21. 1.2018 19:12:56
    22. 1.2018 11:32:44
  7. Jäger, L.: Von Big Data zu Big Brother (2018) 0.02 
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    Date
    21. 1.2018 19:12:56
    22. 1.2018 11:33:49
  8. Wolchover, N.: Wie ein Aufsehen erregender Beweis kaum Beachtung fand (2017) 0.02 
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    Date
    22. 4.2017 10:42:05
    22. 4.2017 10:48:38
  9. Molor-Erdene, B.: Was denken Chinesen selbst über das Sozialkreditsystem? (2019) 0.02 
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    Date
    23.12.2019 21:24:52
    Issue
    [21. Dezember 2019].
  10. Becker, M.: Auf dem Weg zum Psychotherapie-Bot (2018) 0.02 
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    Date
    21. 1.2018 19:12:56
    5. 3.2018 10:41:21
  11. Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015) 0.01 
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    22. 2.2017 12:51:57
  12. Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011) 0.01 
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    Content
    Vgl.: DocEng2011, September 19-22, 2011, Mountain View, California, USA Copyright 2011 ACM 978-1-4503-0863-2/11/09
    Date
    22. 2.2017 13:00:42
  13. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.01 
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    Abstract
    This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
  14. Scheven, E.: Geokoordinaten in Bibliotheksdaten : Grundlage für innovative Nachnutzung (2015) 0.01 
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    Date
    16.11.2015 18:22:47
  15. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.01 
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    Date
    17.12.2013 11:02:22
  16. Hartmann, F.: Paul Otlets Hypermedium : Dokumentation als Gegenidee zur Bibliothek (2015) 0.01 
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    Date
    22. 8.2016 15:58:46
  17. Schleim, S.: Warum die Wissenschaft nicht frei ist (2017) 0.01 
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    Date
    9.10.2017 15:48:22
  18. Rötzer, F.: Chinesischer Roboter besteht weltweit erstmals Zulassungsprüfung für Mediziner (2017) 0.01 
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    Issue
    [22. November 2017].
  19. Landwehr, A.: China schafft digitales Punktesystem für den "besseren" Menschen (2018) 0.01 
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    Date
    22. 6.2018 14:29:46
  20. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.01 
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    Date
    19. 2.2019 17:22:00

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