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  1. Scheven, E.: Geokoordinaten in Bibliotheksdaten : Grundlage für innovative Nachnutzung (2015) 0.03 
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    Date
    16.11.2015 18:22:47
    Source
    o-bib: Das offene Bibliotheksjournal. 2(2015) Nr.1, S.15-26
  2. Schleim, S.: Warum die Wissenschaft nicht frei ist (2017) 0.03 
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    Date
    9.10.2017 15:48:22
  3. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.03 
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    Date
    19. 2.2019 17:22:00
  4. Pany, T.: Konfusion in der Medienrepublik : Der Überraschungseffekt der Youtuber (2019) 0.02 
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    Content
    Vgl. auch: Dörner, S.:"CDU-Zerstörer" Rezo: Es kamen "Diskreditierung, Lügen, Trump-Wordings und keine inhaltliche Auseinandersetzung" [22. Mai 2019]. Interview mit Rezo. Unter: https://www.heise.de/tp/features/CDU-Zerstoerer-Rezo-Es-kamen-Diskreditierung-Luegen-Trump-Wordings-und-keine-inhaltliche-4428522.html?view=print [http://www.heise.de/-4428522].
  5. 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
  6. Zanibbi, R.; Yuan, B.: Keyword and image-based retrieval for mathematical expressions (2011) 0.02 
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    Abstract
    Two new methods for retrieving mathematical expressions using conventional keyword search and expression images are presented. An expression-level TF-IDF (term frequency-inverse document frequency) approach is used for keyword search, where queries and indexed expressions are represented by keywords taken from LATEX strings. TF-IDF is computed at the level of individual expressions rather than documents to increase the precision of matching. The second retrieval technique is a form of Content-Base Image Retrieval (CBIR). Expressions are segmented into connected components, and then components in the query expression and each expression in the collection are matched using contour and density features, aspect ratios, and relative positions. In an experiment using ten randomly sampled queries from a corpus of over 22,000 expressions, precision-at-k (k= 20) for the keyword-based approach was higher (keyword: µ= 84.0,s= 19.0, image-based:µ= 32.0,s= 30.7), but for a few of the queries better results were obtained using a combination of the two techniques.
    Date
    22. 2.2017 12:53:49
  7. Franke, F.: ¬Das Framework for Information Literacy : neue Impulse für die Förderung von Informationskompetenz in Deutschland?! (2017) 0.02 
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    Source
    o-bib: Das offene Bibliotheksjournal. 4(2017) Nr.4, S.22-29
  8. Delsey, T.: ¬The Making of RDA (2016) 0.02 
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    Date
    17. 5.2016 19:22:40
    Source
    Jlis.it. 7(2016) no.2, S.25-47
  9. Knoll, A.: Kompetenzprofil von Information Professionals in Unternehmen (2016) 0.02 
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    Date
    28. 7.2016 16:22:54
    Source
    Young information scientists. 1(2016), S.1-11
  10. Voß, J.: Classification of knowledge organization systems with Wikidata (2016) 0.02 
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    Pages
    S.15-22
  11. Dowding, H.; Gengenbach, M.; Graham, B.; Meister, S.; Moran, J.; Peltzman, S.; Seifert, J.; Waugh, D.: OSS4EVA: using open-source tools to fulfill digital preservation requirements (2016) 0.02 
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    Date
    28.10.2016 18:22:33
  12. Seefried, E.: ¬Die Gestaltbarkeit der Zukunft und ihre Grenzen : zur Geschichte der Zukunftsforschung (2015) 0.02 
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    Date
    22. 6.2018 13:47:33
    Source
    Zeitschrift für Zukunftsforschung. 4 (2015) H.1, S.5-31
  13. Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015) 0.02 
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    Date
    22. 2.2017 12:51:57
  14. Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011) 0.02 
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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
  15. 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.
  16. 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
  17. Hartmann, F.: Paul Otlets Hypermedium : Dokumentation als Gegenidee zur Bibliothek (2015) 0.01 
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  18. Rötzer, F.: Chinesischer Roboter besteht weltweit erstmals Zulassungsprüfung für Mediziner (2017) 0.01 
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  19. Landwehr, A.: China schafft digitales Punktesystem für den "besseren" Menschen (2018) 0.01 
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  20. Rötzer, F.: Psychologen für die Künstliche Intelligenz (2018) 0.01 
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    Date
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