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  1. 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
  2. Drewer, P.; Massion, F; Pulitano, D: Was haben Wissensmodellierung, Wissensstrukturierung, künstliche Intelligenz und Terminologie miteinander zu tun? (2017) 0.02 
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    Date
    13.12.2017 14:17:22
  3. Schönherr, M.: Bestechend brillant : die Schönheit der Algorithmen (2016) 0.02 
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    Date
    10. 2.2016 17:22:23
  4. Häring, N.; Hensinger, P.: "Digitale Bildung" : Der abschüssige Weg zur Konditionierungsanstalt (2019) 0.02 
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    Date
    22. 2.2019 11:45:19
  5. 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
  6. Mayr, P.; Zapilko, B.; Sure, Y.: ¬Ein Mehr-Thesauri-Szenario auf Basis von SKOS und Crosskonkordanzen (2010) 0.01 
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    Abstract
    Im August 2009 wurde SKOS "Simple Knowledge Organization System" als neuer Standard für web-basierte kontrollierte Vokabulare durch das W3C veröffentlicht1. SKOS dient als Datenmodell, um kontrollierte Vokabulare über das Web anzubieten sowie technisch und semantisch interoperabel zu machen. Perspektivisch kann die heterogene Landschaft der Erschließungsvokabulare über SKOS vereinheitlicht und vor allem die Inhalte der klassischen Datenbanken (Bereich Fachinformation) für Anwendungen des Semantic Web, beispielsweise als Linked Open Data2 (LOD), zugänglich und stär-ker miteinander vernetzt werden. Vokabulare im SKOS-Format können dabei eine relevante Funktion einnehmen, indem sie als standardisiertes Brückenvokabular dienen und semantische Verlinkung zwischen erschlossenen, veröffentlichten Daten herstellen. Die folgende Fallstudie skizziert ein Szenario mit drei thematisch verwandten Thesauri, die ins SKOS-Format übertragen und inhaltlich über Crosskonkordanzen aus dem Projekt KoMoHe verbunden werden. Die Mapping Properties von SKOS bieten dazu standardisierte Relationen, die denen der Crosskonkordanzen entsprechen. Die beteiligten Thesauri der Fallstudie sind a) TheSoz (Thesaurus Sozialwissenschaften, GESIS), b) STW (Standard-Thesaurus Wirtschaft, ZBW) und c) IBLK-Thesaurus (SWP).
  7. Zhang, L.; Wang, S.; Liu, B.: Deep learning for sentiment analysis : a survey (2018) 0.01 
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  8. Witt, A.; Blumtritt, J.; Helling, P.; Mathiak, B.; Rau, F.: Forschungsdatenmanagement in den Geisteswissenschaften an der Universität zu Köln (2018) 0.01 
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  9. Hartmann, S.; Haffner, A.: Linked-RDA-Data in der Praxis (2010) 0.01 
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    Date
    13. 2.2011 20:22:23
  10. Eckert, K.: SKOS: eine Sprache für die Übertragung von Thesauri ins Semantic Web (2011) 0.01 
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    Date
    15. 3.2011 19:21:22
  11. Scheven, E.: Geokoordinaten in Bibliotheksdaten : Grundlage für innovative Nachnutzung (2015) 0.01 
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    Date
    16.11.2015 18:22:47
  12. 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
  13. Hartmann, F.: Paul Otlets Hypermedium : Dokumentation als Gegenidee zur Bibliothek (2015) 0.01 
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    Date
    22. 8.2016 15:58:46
  14. Lezius, W.: Morphy - Morphologie und Tagging für das Deutsche (2013) 0.01 
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    Date
    22. 3.2015 9:30:24
  15. Schleim, S.: Warum die Wissenschaft nicht frei ist (2017) 0.01 
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    Date
    9.10.2017 15:48:22
  16. Rötzer, F.: Chinesischer Roboter besteht weltweit erstmals Zulassungsprüfung für Mediziner (2017) 0.01 
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    Issue
    [22. November 2017].
  17. Landwehr, A.: China schafft digitales Punktesystem für den "besseren" Menschen (2018) 0.01 
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    Date
    22. 6.2018 14:29:46
  18. Rötzer, F.: Psychologen für die Künstliche Intelligenz (2018) 0.01 
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    Date
    22. 1.2018 11:08:27
  19. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.01 
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    Date
    19. 2.2019 17:22:00
  20. Hjoerland, B.: Subject (of documents) (2016) 0.01 
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    Source
    ISKO Encyclopedia of Knowledge Organization, ed. by B. Hjoerland. [http://www.isko.org/cyclo/logical_division]

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