Search (177 results, page 1 of 9)

  • × year_i:[2020 TO 2030}
  1. Zilm, G.: "Kl ist ein glorifizierter Taschenrechner" (2023) 0.05 
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    Date
    27. 1.2023 16:22:55
  2. Candela, G.: ¬An automatic data quality approach to assess semantic data from cultural heritage institutions (2023) 0.04 
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    Date
    22. 6.2023 18:23:31
  3. Geras, A.; Siudem, G.; Gagolewski, M.: Should we introduce a dislike button for academic articles? (2020) 0.03 
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    Date
    6. 1.2020 18:10:22
  4. Li, G.; Siddharth, L.; Luo, J.: Embedding knowledge graph of patent metadata to measure knowledge proximity (2023) 0.03 
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    Date
    22. 3.2023 12:06:55
  5. Wang, S.; Ma, Y.; Mao, J.; Bai, Y.; Liang, Z.; Li, G.: Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities : On the rise of scrape-and-report scholarship in online reviews research (2023) 0.03 
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    Date
    22. 1.2023 18:37:33
  6. Yu, C.; Xue, H.; An, L.; Li, G.: ¬A lightweight semantic-enhanced interactive network for efficient short-text matching (2023) 0.03 
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    Date
    22. 1.2023 19:05:27
  7. Cerda-Cosme, R.; Méndez, E.: Analysis of shared research data in Spanish scientific papers about COVID-19 : a first approach (2023) 0.03 
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    Abstract
    During the coronavirus pandemic, changes in the way science is done and shared occurred, which motivates meta-research to help understand science communication in crises and improve its effectiveness. The objective is to study how many Spanish scientific papers on COVID-19 published during 2020 share their research data. Qualitative and descriptive study applying nine attributes: (a) availability, (b) accessibility, (c) format, (d) licensing, (e) linkage, (f) funding, (g) editorial policy, (h) content, and (i) statistics. We analyzed 1,340 papers, 1,173 (87.5%) did not have research data. A total of 12.5% share their research data of which 2.1% share their data in repositories, 5% share their data through a simple request, 0.2% do not have permission to share their data, and 5.2% share their data as supplementary material. There is a small percentage that shares their research data; however, it demonstrates the researchers' poor knowledge on how to properly share their research data and their lack of knowledge on what is research data.
    Date
    21. 3.2023 19:22:02
  8. Zhang, Y.; Wu, M.; Zhang, G.; Lu, J.: Stepping beyond your comfort zone : diffusion-based network analytics for knowledge trajectory recommendation (2023) 0.03 
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    Date
    22. 6.2023 18:07:12
  9. 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
  10. 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."
  11. Hindrichs, G.: Kriegszivilgesellschaft (2022) 0.02 
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  12. Heaven, D.; Hinton, G.: "Erschreckend, wenn man das sieht" : KI-Pionier Geoffrey Hinton über KI-Modelle (2023) 0.02 
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    Biographed
    Hinton, G.
  13. Facetten von Wolf Stock und ihre Bedeutung für die Informationswissenschaft : Festschrift zu Ehren von Wolfgang G. Stock (2020) 0.02 
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    Abstract
    Diese Festschrift ist Professor Wolfgang G. Stock anlässlich seiner Pensionierung im Jahr 2019 gewidmet. Seit 2003 war Stock Nachfolger von Professor Norbert Henrichs für den Lehrstuhl Informationswissenschaft an der Heinrich-Heine-Universität Düsseldorf. Er beeinflusste dabei die heutige Ausrichtung des Studiengangs in besonderem Maße und prägte mit mehr als 300 vielfältigen und interdisziplinären Artikeln die informationswissenschaftliche Publikationslandschaft. Anlässlich seiner Pensionierung präsentiert diese Festschrift eine bunte Vielfalt an Beiträgen, welche die vielen Facetten von Stocks Wirken beleuchten und seine Leistungen als Universitätsprofessor, Wissenschaftler und Mentor würdigen sollen. Die Beiträge zeigen dabei sowohl Stocks Tätigkeiten in der Forschung hinsichtlich diverser Themen und Kollaborationen auf als auch seine Bedeutung für die informationswissenschaftliche Lehre. Auch ganz persönliche Erfahrungen aus der Zusammenarbeit mit Stock werden thematisiert.
    Biographed
    Stock, Wolfgang G.
    Content
    Was zählt eine Publikation? - Möglichkeiten zur Durchführung einer Forschungsevaluierung im Bereich der Betriebswirtschaftslehre (Gerhard Reichmann) Wolfgang G. Stock - Ein bibliometrischer Rückblick auf eine Karriere in der Informationswissenschaft (Isabella Peters, Jasmin Schmitz, Katrin Weller, Stefanie Haustein, Violeta Trkulja) Informetrische Analyse der Abschlussarbeiten der Düsseldorfer Informationswissenschaft (Mohamed Abdillah, Anneliese Volkmar) Was Wissenschaft und (publizistische) Praxis voneinander lernen können - Erfahrungen aus einer jahrzehntelangen Zusammenarbeit Wolf Stock und die Grazer Informationswissenschaft - Der Wandel einer Wissenschaftsdisziplin in den Jahren der Zusammenarbeit (Wolf Rauch, Christian Schlögl) Suchmaschinenforschung in Anknüpfung an Wolf Stock (Dirk Lewandowski) "Ein Bild sagt mehr als tausend Worte" - Inhaltsanalyse der Social-Media-Bilder von Wolfgang G. Stock (Katrin Scheibe, Franziska Zimmer) Von der Grundlagen- zur angewandten Forschung - Meine kleine Reise mit und ohne Wolfgang G. Stock (Milos Jovanovic) Publikationsliste von Wolfgang G. Stock
  14. ¬Der Student aus dem Computer (2023) 0.02 
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    Date
    27. 1.2023 16:22:55
  15. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.02 
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    Date
    2. 3.2020 14:08:22
  16. 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
  17. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.01 
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  18. Bischoff, M.: KI lernt die Sprache der Mathematik (2020) 0.01 
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    Content
    Verweis auf: Lample, G., Charton, F.: Deep learning for symbolic mathematics. ArXiv: 11912.01412, 2019.
  19. Brembs, B.; Förstner, K.; Kraker, P.; Lauer, G.; Müller-Birn, C.; Schönbrodt, F.; Siems, R.: Auf einmal Laborratte (2021) 0.01 
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  20. Restrepo, G.: Zeit für eine neue Ordnung? (2022) 0.01 
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