Search (108 results, page 1 of 6)

  • × year_i:[2020 TO 2030}
  1. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.38 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  2. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.32 
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    Content
    Master thesis Master of Science (Library and Information Studies) (MSc), Universität Wien. Advisor: Christoph Steiner. Vgl.: https://www.researchgate.net/publication/371680244_Vergabe_von_DDC-Sachgruppen_mittels_eines_Schlagwort-Thesaurus. DOI: 10.25365/thesis.70030. Vgl. dazu die Präsentation unter: https://www.google.com/url?sa=i&rct=j&q=&esrc=s&source=web&cd=&ved=0CAIQw7AJahcKEwjwoZzzytz_AhUAAAAAHQAAAAAQAg&url=https%3A%2F%2Fwiki.dnb.de%2Fdownload%2Fattachments%2F252121510%2FDA3%2520Workshop-Gabler.pdf%3Fversion%3D1%26modificationDate%3D1671093170000%26api%3Dv2&psig=AOvVaw0szwENK1or3HevgvIDOfjx&ust=1687719410889597&opi=89978449.
  3. Balakrishnan, U.; Peters, S.; Voß, J.: Coli-conc : eine Infrastruktur zur Nutzung und Erstellung von Konkordanzen (2021) 0.01 
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    Abstract
    coli-conc ist eine Dienstleistung der Verbundzentrale des Gemeinsamen Bibliotheksverbundes (VZG). Sie stellt webbasierte Dienste für einen effektiveren Austausch von Wissensorganisationssystemen und für die effiziente Erstellung und Wartung von Mappings zur Verfügung. Der Schwerpunkt liegt auf den im deutschsprachigen Raum verbreiteten bibliothekarischen Klassifikationen und Normdateien, vor allem den bedeutenden Universalklassifikationen wie Dewey Dezimalklassifikation (DDC), Regensburger Verbundklassifikation (RVK), Basisklassifikation (BK) und den Sachgruppen der Deutschen Nationalbibliografie (SDNB). Dieser Bericht beschreibt den Hintergrund, die Architektur und die Funktionalitäten von coli-conc sowie das Herzstück der Infrastruktur - das Mapping-Tool Cocoda. Außerdem wird auf Maßnahmen zur Qualitätssicherung eingegangen und ein Einblick in das neue Mapping-Verfahren mit dem Konzept- Hub gewährt.
  4. Kasprzik, A.: Aufbau eines produktiven Dienstes für die automatisierte Inhaltserschließung an der ZBW : ein Status- und Erfahrungsbericht. (2023) 0.01 
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    Abstract
    Die ZBW - Leibniz-Informationszentrum Wirtschaft betreibt seit 2016 eigene angewandte Forschung im Bereich Machine Learning mit dem Zweck, praktikable Lösungen für eine automatisierte oder maschinell unterstützte Inhaltserschließung zu entwickeln. 2020 begann ein Team an der ZBW die Konzeption und Implementierung einer Softwarearchitektur, die es ermöglichte, diese prototypischen Lösungen in einen produktiven Dienst zu überführen und mit den bestehenden Nachweis- und Informationssystemen zu verzahnen. Sowohl die angewandte Forschung als auch die für dieses Vorhaben ("AutoSE") notwendige Softwareentwicklung sind direkt im Bibliotheksbereich der ZBW angesiedelt, werden kontinuierlich anhand des State of the Art vorangetrieben und profitieren von einem engen Austausch mit den Verantwortlichen für die intellektuelle Inhaltserschließung. Dieser Beitrag zeigt die Meilensteine auf, die das AutoSE-Team in zwei Jahren in Bezug auf den Aufbau und die Integration der Software erreicht hat, und skizziert, welche bis zum Ende der Pilotphase (2024) noch ausstehen. Die Architektur basiert auf Open-Source-Software und die eingesetzten Machine-Learning-Komponenten werden im Rahmen einer internationalen Zusammenarbeit im engen Austausch mit der Finnischen Nationalbibliothek (NLF) weiterentwickelt und zur Nachnutzung in dem von der NLF entwickelten Open-Source-Werkzeugkasten Annif aufbereitet. Das Betriebsmodell des AutoSE-Dienstes sieht regelmäßige Überprüfungen sowohl einzelner Komponenten als auch des Produktionsworkflows als Ganzes vor und erlaubt eine fortlaufende Weiterentwicklung der Architektur. Eines der Ergebnisse, das bis zum Ende der Pilotphase vorliegen soll, ist die Dokumentation der Anforderungen an einen dauerhaften produktiven Betrieb des Dienstes, damit die Ressourcen dafür im Rahmen eines tragfähigen Modells langfristig gesichert werden können. Aus diesem Praxisbeispiel lässt sich ableiten, welche Bedingungen gegeben sein müssen, um Machine-Learning-Lösungen wie die in Annif enthaltenen erfolgreich an einer Institution für die Inhaltserschließung einsetzen zu können.
  5. Chen, S.S.-J.: Methodological considerations for developing Art & Architecture Thesaurus in Chinese and its applications (2021) 0.01 
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    Architektur
  6. Libraries, archives and museums as democratic spaces in a digital age (2020) 0.01 
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    RSWK
    Bibliothek / Archiv / Museum / Digitalisierung / Demokratie / Öffentlichkeit / Aufsatzsammlung (GBV)
    Subject
    Bibliothek / Archiv / Museum / Digitalisierung / Demokratie / Öffentlichkeit / Aufsatzsammlung (GBV)
  7. Information : a reader (2022) 0.01 
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    Information / Philosophie / Soziologie / Aufsatzsammlung
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    Information / Philosophie / Soziologie / Aufsatzsammlung
  8. Dietz, K.: en.wikipedia.org > 6 Mio. Artikel (2020) 0.00 
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    Content
    "Die Englischsprachige Wikipedia verfügt jetzt über mehr als 6 Millionen Artikel. An zweiter Stelle kommt die deutschsprachige Wikipedia mit 2.3 Millionen Artikeln, an dritter Stelle steht die französischsprachige Wikipedia mit 2.1 Millionen Artikeln (via Researchbuzz: Firehose <https://rbfirehose.com/2020/01/24/techcrunch-wikipedia-now-has-more-than-6-million-articles-in-english/> und Techcrunch <https://techcrunch.com/2020/01/23/wikipedia-english-six-million-articles/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&guccounter=1&guce_referrer=aHR0cHM6Ly9yYmZpcmVob3NlLmNvbS8yMDIwLzAxLzI0L3RlY2hjcnVuY2gtd2lraXBlZGlhLW5vdy1oYXMtbW9yZS10aGFuLTYtbWlsbGlvbi1hcnRpY2xlcy1pbi1lbmdsaXNoLw&guce_referrer_sig=AQAAAK0zHfjdDZ_spFZBF_z-zDjtL5iWvuKDumFTzm4HvQzkUfE2pLXQzGS6FGB_y-VISdMEsUSvkNsg2U_NWQ4lwWSvOo3jvXo1I3GtgHpP8exukVxYAnn5mJspqX50VHIWFADHhs5AerkRn3hMRtf_R3F1qmEbo8EROZXp328HMC-o>). 250120 via digithek ch = #fineBlog s.a.: Angesichts der Veröffentlichung des 6-millionsten Artikels vergangene Woche in der englischsprachigen Wikipedia hat die Community-Zeitungsseite "Wikipedia Signpost" ein Moratorium bei der Veröffentlichung von Unternehmensartikeln gefordert. Das sei kein Vorwurf gegen die Wikimedia Foundation, aber die derzeitigen Maßnahmen, um die Enzyklopädie gegen missbräuchliches undeklariertes Paid Editing zu schützen, funktionierten ganz klar nicht. *"Da die ehrenamtlichen Autoren derzeit von Werbung in Gestalt von Wikipedia-Artikeln überwältigt werden, und da die WMF nicht in der Lage zu sein scheint, dem irgendetwas entgegenzusetzen, wäre der einzige gangbare Weg für die Autoren, fürs erste die Neuanlage von Artikeln über Unternehmen zu untersagen"*, schreibt der Benutzer Smallbones in seinem Editorial <https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2020-01-27/From_the_editor> zur heutigen Ausgabe."
  9. ¬Der Student aus dem Computer (2023) 0.00 
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    Date
    27. 1.2023 16:22:55
  10. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.00 
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    2. 3.2020 14:08:22
  11. Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023) 0.00 
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    Spektrum der Wissenschaft. 2023, H.10, S.22-24
  12. Koch, C.: Was ist Bewusstsein? (2020) 0.00 
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    17. 1.2020 22:15:11
  13. Wagner, E.: Über Impfstoffe zur digitalen Identität? (2020) 0.00 
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    4. 5.2020 17:22:40
  14. Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020) 0.00 
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    4. 5.2020 17:22:28
  15. Arndt, O.: Totale Telematik (2020) 0.00 
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  16. Arndt, O.: Erosion der bürgerlichen Freiheiten (2020) 0.00 
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  17. Baecker, D.: ¬Der Frosch, die Fliege und der Mensch : zum Tod von Humberto Maturana (2021) 0.00 
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  18. Eyert, F.: Mathematische Wissenschaftskommunikation in der digitalen Gesellschaft (2023) 0.00 
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    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.22-25
  19. Wüllner, J.: Obsidian - das Organisationstalent : Ideen, Notizen, Planungen, Projekte - diese App kann für Schule, Uni und Beruf hilfreich sein (2023) 0.00 
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  20. Fugmann, R.: What is information? : an information veteran looks back (2022) 0.00 
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    18. 8.2022 19:22:57

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