Search (270 results, page 1 of 14)

  • × year_i:[2020 TO 2030}
  1. Dietz, K.: en.wikipedia.org > 6 Mio. Artikel (2020) 0.06 
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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."
    Date
    28. 1.2020 19:35:33
  2. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.05 
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    Abstract
    Vorgestellt wird die Konstruktion eines thematisch geordneten Thesaurus auf Basis der Sachschlagwörter der Gemeinsamen Normdatei (GND) unter Nutzung der darin enthaltenen DDC-Notationen. Oberste Ordnungsebene dieses Thesaurus werden die DDC-Sachgruppen der Deutschen Nationalbibliothek. Die Konstruktion des Thesaurus erfolgt regelbasiert unter der Nutzung von Linked Data Prinzipien in einem SPARQL Prozessor. Der Thesaurus dient der automatisierten Gewinnung von Metadaten aus wissenschaftlichen Publikationen mittels eines computerlinguistischen Extraktors. Hierzu werden digitale Volltexte verarbeitet. Dieser ermittelt die gefundenen Schlagwörter über Vergleich der Zeichenfolgen Benennungen im Thesaurus, ordnet die Treffer nach Relevanz im Text und gibt die zugeordne-ten Sachgruppen rangordnend zurück. Die grundlegende Annahme dabei ist, dass die gesuchte Sachgruppe unter den oberen Rängen zurückgegeben wird. In einem dreistufigen Verfahren wird die Leistungsfähigkeit des Verfahrens validiert. Hierzu wird zunächst anhand von Metadaten und Erkenntnissen einer Kurzautopsie ein Goldstandard aus Dokumenten erstellt, die im Online-Katalog der DNB abrufbar sind. Die Dokumente vertei-len sich über 14 der Sachgruppen mit einer Losgröße von jeweils 50 Dokumenten. Sämtliche Dokumente werden mit dem Extraktor erschlossen und die Ergebnisse der Kategorisierung do-kumentiert. Schließlich wird die sich daraus ergebende Retrievalleistung sowohl für eine harte (binäre) Kategorisierung als auch eine rangordnende Rückgabe der Sachgruppen beurteilt.
    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. Lepsky, K.: Automatisches Indexieren (2023) 0.04 
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    Abstract
    Unter Indexierung versteht man die Zuordnung von inhaltskennzeichnenden Ausdrücken (Indextermen, Indexaten, Erschließungsmerkmalen) zu Dokumenten. Über die zugeteilten Indexterme soll ein gezieltes Auffinden der Dokumente ermöglicht werden. Indexterme können inhaltsbeschreibende Merkmale wie Notationen, Deskriptoren, kontrollierte oder freie Schlagwörter sein; es kann sich auch um reine Stichwörter handeln, die aus dem Text des Dokuments gewonnen werden. Eine Indexierung kann intellektuell, computerunterstützt oder automatisch erfolgen. Computerunterstützte Indexierungsverfahren kombinieren die intellektuelle Indexierung mit automatischen Vorarbeiten. Bei der automatischen Indexierung werden die Indexterme automatisch aus dem Dokumenttext ermittelt und dem Dokument zugeordnet. Automatische Indexierung bedient sich für die Verarbeitung der Zeichenketten im Dokument linguistischer und statistischer Verfahren.
    Date
    24.11.2022 13:29:16
  4. Springer, M.: Ewiges Wachstum (2020) 0.04 
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    Date
    18. 3.2020 18:48:28
    Source
    Spektrum der Wissenschaft. 2020, H.3, S.29
  5. Thelwall, M.; Thelwall, S.: ¬A thematic analysis of highly retweeted early COVID-19 tweets : consensus, information, dissent and lockdown life (2020) 0.03 
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    Abstract
    Purpose Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This article investigates important issues reflected on Twitter in the early stages of the public reaction to COVID-19. Design/methodology/approach A thematic analysis of the most retweeted English-language tweets mentioning COVID-19 during March 10-29, 2020. Findings The main themes identified for the 87 qualifying tweets accounting for 14 million retweets were: lockdown life; attitude towards social restrictions; politics; safety messages; people with COVID-19; support for key workers; work; and COVID-19 facts/news. Research limitations/implications Twitter played many positive roles, mainly through unofficial tweets. Users shared social distancing information, helped build support for social distancing, criticised government responses, expressed support for key workers and helped each other cope with social isolation. A few popular tweets not supporting social distancing show that government messages sometimes failed. Practical implications Public health campaigns in future may consider encouraging grass roots social web activity to support campaign goals. At a methodological level, analysing retweet counts emphasised politics and ignored practical implementation issues. Originality/value This is the first qualitative analysis of general COVID-19-related retweeting.
    Date
    20. 1.2015 18:30:22
    12. 3.2021 18:41:28
  6. Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020) 0.03 
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    Date
    4. 5.2020 17:22:28
  7. Eyert, F.: Mathematische Wissenschaftskommunikation in der digitalen Gesellschaft (2023) 0.03 
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    Date
    28. 2.2020 15:06:34
    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.22-25
  8. Haring, M.; Rudaev, A.; Lewandowski, D.: Google & Co. : wie die "Search Studies" an der HAW Hamburg unserem Nutzungsverhalten auf den Zahn fühlen: Blickpunkt angewandte Forschung (2022) 0.02 
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    Date
    28. 1.2022 11:05:29
  9. Verch, U.: Alles was Recht ist : das Buchpreisbindungsgesetz (2022) 0.02 
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    Date
    28. 1.2022 11:05:29
  10. Aalberg, T.; O'Neill, E.; Zumer, M.: Extending the LRM Model to integrating resources (2021) 0.02 
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  11. Verch, U.: ¬Das Bildzitat - Fotos und Abbildungen richtig zitieren (2022) 0.02 
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  12. Dextre Clarke, S.: Jean Aitchison (1925-2020) (2021) 0.02 
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  13. Wiegmann, S.: Hättest du die Titanic überlebt? : Eine kurze Einführung in das Data Mining mit freier Software (2023) 0.02 
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  14. Aspray, W.; Aspray, P.: Does technology really outpace policy, and does it matter? : a primer for technical experts and others (2023) 0.02 
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  15. Gesellschaftliche Verantwortung und wirtschaftliche,soziale und ökologische Potenziale : Bericht der Enquete-Kommission Künstliche Intelligenz (2020) 0.02 
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    Content
    Vgl. auch: https://www.bundestag.de/ausschuesse/weitere_gremien/enquete_ki. Vgl. auch: https://www.tabea-roessner.de/2020/10/28/der-abschlussbericht-der-enquete-kommission-ki-ist-da/.
    Date
    6.11.2020 10:29:02
  16. Albrecht, I.: GPT-3: die Zukunft studentischer Hausarbeiten oder eine Bedrohung der wissenschaftlichen Integrität? (2023) 0.02 
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  17. Qi, Q.; Hessen, D.J.; Heijden, P.G.M. van der: Improving information retrieval through correspondenceanalysis instead of latent semantic analysis (2023) 0.02 
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  18. Lauck, D.: ¬Das müssen Sie über die Warn-App wissen (2020) 0.02 
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    Content
    ... "Jedes Mobiltelefon mit installierter und aktivierter App soll sich über Bluetooth automatisch mit Geräten in seiner Nähe verbinden. Dazu soll über die Signalstärke die Entfernung zwischen zwei Smartphones ermittelt werden, und zugleich sollen die Handys bei einer engen Begegnung per Bluetooth anonyme ID-Schlüssel, sogenannte Kurzzeit-Identifikationsnummern, austauschen. Wird ein Nutzer positiv auf Covid-19 getestet und dieser Status in der App erfasst, werden die anderen betroffenen Anwender darüber informiert, dass sie sich in der Vergangenheit in der Nähe einer infizierten Person aufgehalten haben. Für diese Nutzer wird zugleich eine persönliche "Risikostufe für eine Infektion" mitgeteilt." ...
  19. Lehmann, K.: Wissen, glauben, zweifeln, hoffen (2020) 0.02 
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    Date
    7. 6.2020 19:28:28
  20. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.02 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN

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