Search (257 results, page 1 of 13)

  • × year_i:[2020 TO 2030}
  1. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.05
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
    Type
    p
  2. Heisig, P.: Informationswissenschaft für Wissensmanager : Was Wissensmanager von der informationswissenschaftlichen Forschung lernen können (2021) 0.04
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    Date
    22. 1.2021 14:38:21
  3. Schrenk, P.: Gesamtnote 1 für Signal - Telegram-Defizite bei Sicherheit und Privatsphäre : Signal und Telegram im Test (2022) 0.04
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    Date
    22. 1.2022 14:01:14
  4. Vogt, T.: ¬Die Transformation des renommierten Informationsservices zbMATH zu einer Open Access-Plattform für die Mathematik steht vor dem Abschluss. (2020) 0.03
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    Content
    "Mit Beginn des Jahres 2021 wird der umfassende internationale Informationsservice zbMATH in eine Open Access-Plattform überführt. Dann steht dieser bislang kostenpflichtige Dienst weltweit allen Interessierten kostenfrei zur Verfügung. Die Änderung des Geschäftsmodells ermöglicht, die meisten Informationen und Daten von zbMATH für Forschungszwecke und zur Verknüpfung mit anderen nicht-kommerziellen Diensten frei zu nutzen, siehe: https://www.mathematik.de/dmv-blog/2772-transformation-von-zbmath-zu-einer-open-access-plattform-f%C3%BCr-die-mathematik-kurz-vor-dem-abschluss."
  5. Hartel, J.: ¬The red thread of information (2020) 0.03
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    Abstract
    Purpose In The Invisible Substrate of Information Science, a landmark article about the discipline of information science, Marcia J. Bates wrote that ".we are always looking for the red thread of information in the social texture of people's lives" (1999a, p. 1048). To sharpen our understanding of information science and to elaborate Bates' idea, the work at hand answers the question: Just what does the red thread of information entail? Design/methodology/approach Through a close reading of Bates' oeuvre and by applying concepts from the reference literature of information science, nine composite entities that qualify as the red thread of information are identified, elaborated, and related to existing concepts in the information science literature. In the spirit of a scientist-poet (White, 1999), several playful metaphors related to the color red are employed. Findings Bates' red thread of information entails: terms, genres, literatures, classification systems, scholarly communication, information retrieval, information experience, information institutions, and information policy. This same constellation of phenomena can be found in resonant visions of information science, namely, domain analysis (Hjørland, 2002), ethnography of infrastructure (Star, 1999), and social epistemology (Shera, 1968). Research limitations/implications With the vital vermilion filament in clear view, newcomers can more easily engage the material, conceptual, and social machinery of information science, and specialists are reminded of what constitutes information science as a whole. Future researchers and scientist-poets may wish to supplement the nine composite entities with additional, emergent information phenomena. Originality/value Though the explication of information science that follows is relatively orthodox and time-bound, the paper offers an imaginative, accessible, yet technically precise way of understanding the field.
    Date
    30. 4.2020 21:03:22
  6. Thelwall, M.; Kousha, K.; Abdoli, M.; Stuart, E.; Makita, M.; Wilson, P.; Levitt, J.: Why are coauthored academic articles more cited : higher quality or larger audience? (2023) 0.03
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    Date
    22. 6.2023 18:11:50
  7. Vakkari, P.; Järvelin, K.; Chang, Y.-W.: ¬The association of disciplinary background with the evolution of topics and methods in Library and Information Science research 1995-2015 (2023) 0.03
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    Date
    22. 6.2023 18:15:06
  8. Aspray, W.; Aspray, P.: Does technology really outpace policy, and does it matter? : a primer for technical experts and others (2023) 0.03
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    Date
    22. 7.2023 13:28:28
  9. Das, S.; Bagchi, M.; Hussey, P.: How to teach domain ontology-based knowledge graph construction? : an Irish experiment (2023) 0.03
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    Date
    20.11.2023 17:19:22
  10. Luo, L.; Ju, J.; Li, Y.-F.; Haffari, G.; Xiong, B.; Pan, S.: ChatRule: mining logical rules with large language models for knowledge graph reasoning (2023) 0.03
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    Date
    23.11.2023 19:07:22
    Type
    p
  11. Boczkowski, P.; Mitchelstein, E.: ¬The digital environment : How we live, learn, work, and play now (2021) 0.02
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    Date
    22. 6.2023 18:25:18
  12. Klimpel, P.: Reformen für das kulturelle Erbe!? (2021) 0.02
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  13. P-L-U-R-V : das sind die häufigsten Methoden der Desinformation. Neue Infografik im Posterformat (2020) 0.02
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    Content
    Vgl. auch: https://www.klimafakten.de/meldung/p-l-u-r-v-dies-sind-die-haeufigsten-desinformations-tricks-von-wissenschafts-leugnern.
    Source
    https://www.klimafakten.de/meldung/p-l-u-r-v-das-sind-die-haeufigsten-methoden-der-desinformation-neue-infografik-im
  14. ¬Der Student aus dem Computer (2023) 0.02
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    Date
    27. 1.2023 16:22:55
  15. Hobohm, H.-C.: Zensur in der Digitalität - eine Überwindung der Moderne? : Die Rolle der Bibliotheken (2020) 0.02
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  16. Hornung, P.: Im Kampf gegen Fake-Verlage (2021) 0.02
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  17. Krauß, P.; Maier, A.: ¬Der Geist in der Maschine (2021) 0.02
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  18. Müller, P.: Text-Automat mit Tücken (2023) 0.02
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  19. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.02
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    Date
    2. 3.2020 14:08:22
  20. Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023) 0.02
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    Source
    Spektrum der Wissenschaft. 2023, H.10, S.22-24

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