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  • × year_i:[2020 TO 2030}
  1. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.17
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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.
  2. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.17
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    Abstract
    This research revisits the classic Turing test and compares recent large language models such as ChatGPT for their abilities to reproduce human-level comprehension and compelling text generation. Two task challenges- summary and question answering- prompt ChatGPT to produce original content (98-99%) from a single text entry and sequential questions initially posed by Turing in 1950. We score the original and generated content against the OpenAI GPT-2 Output Detector from 2019, and establish multiple cases where the generated content proves original and undetectable (98%). The question of a machine fooling a human judge recedes in this work relative to the question of "how would one prove it?" The original contribution of the work presents a metric and simple grammatical set for understanding the writing mechanics of chatbots in evaluating their readability and statistical clarity, engagement, delivery, overall quality, and plagiarism risks. While Turing's original prose scores at least 14% below the machine-generated output, whether an algorithm displays hints of Turing's true initial thoughts (the "Lovelace 2.0" test) remains unanswerable.
    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
    Type
    a
  3. Lewandowski, D.: Suchmaschinen (2023) 0.06
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    Pages
    S.391-402
    Type
    a
  4. Amirhosseini, M.: ¬A novel method for ranking knowledge organization systems (KOSs) based on cognition states (2022) 0.04
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    Abstract
    The purpose of this article is to delineate the process of evolution of know­ledge organization systems (KOSs) through identification of principles of unity such as internal and external unity in organizing the structure of KOSs to achieve content storage and retrieval purposes and to explain a novel method used in ranking of KOSs by proposing the principle of rank unity. Different types of KOSs which are addressed in this article include dictionaries, Roget's thesaurus, thesauri, micro, macro, and meta-thesaurus, ontologies, and lower, middle, and upper-level ontologies. This article relied on dialectic models to clarify the ideas in Kant's know­ledge theory. This is done by identifying logical relationships between categories (i.e., Thesis, antithesis, and synthesis) in the creation of data, information, and know­ledge in the human mind. The Analysis has adapted a historical methodology, more specifically a documentary method, as its reasoning process to propose a conceptual model for ranking KOSs. The study endeavors to explain the main elements of data, information, and know­ledge along with engineering mechanisms such as data, information, and know­ledge engineering in developing the structure of KOSs and also aims to clarify their influence on content storage and retrieval performance. KOSs have followed related principles of order to achieve an internal order, which could be examined by analyzing the principle of internal unity in know­ledge organizations. The principle of external unity leads us to the necessity of compatibility and interoperability between different types of KOSs to achieve semantic harmonization in increasing the performance of content storage and retrieval. Upon introduction of the principle of rank unity, a ranking method of KOSs utilizing cognition states as criteria could be considered to determine the position of each know­ledge organization with respect to others. The related criteria of the principle of rank unity- cognition states- are derived from Immanuel Kant's epistemology. The research results showed that KOSs, while having defined positions in cognition states, specific principles of order, related operational mechanisms, and related principles of unity in achieving their specific purposes, have benefited from the developmental experiences of previous KOSs, and further, their developmental processes owe to the experiences and methods of their previous generations.
    Source
    Knowledge organization. 49(2022) no.6, S.391 - 410
    Type
    a
  5. Grundlagen der Informationswissenschaft (2023) 0.03
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    Content
    Enthält die Kapitel: Grußwort Hochschulverband Informationswissenschaft / Vorwort der Herausgeber / Rainer Kuhlen & Wolfgang Semar: A 1 Information - ein Konstrukt mit Folgen - 3 / Marlies Ockenfeld: A 2 Institutionalisierung der Informationswissenschaft und der IuD-Infrastruktur in Deutschland - 27 / Hans-Christoph Hobohm: A 3 Theorien in der Informationswissenschaft - 45 / Julia Maria Struß & Dirk Lewandowski: A 4 Methoden in der Informationswissenschaft - 57 / Ursula Georgy, Frauke Schade & Stefan Schmunk A 5 Ausbildung, Studium und Weiterbildung in der Informationswissenschaft - 71 / Robert Strötgen & René Schneider: A 6 Bibliotheken - 83 / Karin Schwarz: A 7 Archive - 93 / Hartwig Lüdtke: A 8 Museen - 103 / Barbara Müller-Heiden: A 9 Mediatheken - 111 / Ragna Seidler-de Alwis: A 10 Information Professionals - 117 / Axel Ermert: A 11 Normen und Standardisierung im Informationsbereich - 123 / Thomas Bähr: A 12 Langzeitarchivierung - 135 / Ulrich Reimer: B 1 Einführung in die Wissensorganisation - 147 / Gerd Knorz: B 2 Intellektuelles Indexieren - 159 / Klaus Lepsky: B 3 Automatisches Indexieren - 171 / Andreas Oskar Kempf: B 4 Thesauri - 183 / Michael Kleineberg: B 5 Klassifikation - 195 / Heidrun Wiesenmüller: B 6 Formale Erschließung - 207 / Jochen Fassbender: B 7 Register/Indexe - 219 / Udo Hahn: B 8 Abstracting - Textzusammenfassung - 233 / Rolf Assfalg: B 9 Metadaten - 245 / Heiko Rölke & Albert Weichselbraun: B 10 Ontologien und Linked Open Data - 257 / Isabelle Dorsch & Stefanie Haustein: B 11 Bibliometrie - 271 / Udo Hahn: B 12 Automatische Sprachverarbeitung - 281 /
    Hans-Christian Jetter: B 13 Informationsvisualisierung und Visual Analytics - 295 / Melanie Siegel: B 14 Maschinelle Übersetzung - 307 / Ulrich Herb: B 15 Verfahren der wissenschaftlichen Qualitäts-/ Relevanzsicherung / Evaluierung - 317 / Thomas Mandl: B 16 Text Mining und Data Mining - 327 / Heike Neuroth: B 17 Forschungsdaten - 339 / Isabella Peters: B 18 Folksonomies & Social Tagging - 351 / Christa Womser-Hacker: C 1 Informationswissenschaftliche Perspektiven des Information Retrieval - 365 / Norbert Fuhr: C 2 Modelle im Information Retrieval - 379 / Dirk Lewandowski: C 3 Suchmaschinen - 391 / David Elsweiler & Udo Kruschwitz: C 4 Interaktives Information Retrieval - 403 / Thomas Mandl & Sebastian Diem: C 5 Bild- und Video-Retrieval - 413 / Maximilian Eibl, Josef Haupt, Stefan Kahl, Stefan Taubert & Thomas Wilhelm-Stein: C 6 Audio- und Musik-Retrieval - 423 / Christa Womser-Hacker: C 7 Cross-Language Information Retrieval (CLIR) - 433 / Vivien Petras & Christa Womser-Hacker: C 8 Evaluation im Information Retrieval - 443 / Philipp Schaer: C 9 Sprachmodelle und neuronale Netze im Information Retrieval - 455 / Stefanie Elbeshausen: C 10 Modellierung von Benutzer*innen, Kontextualisierung, Personalisierung - 467 / Ragna Seidler-de Alwis: C 11 Informationsrecherche - 477 / Ulrich Reimer: C 12 Empfehlungssysteme - 485 / Elke Greifeneder & Kirsten Schlebbe: D 1 Information Behaviour - 499 / Nicola Döring: D 2 Computervermittelte Kommunikation - 511 / Hans-Christian Jetter: D 3 Mensch-Computer-Interaktion, Usability und User Experience - 525 / Gabriele Irle: D 4 Emotionen im Information Seeking - 535 /
    Footnote
    Vgl.: https://doi.org/10.1515/9783110769043. Rez. in: o-bib. 10(2023), H.2 (A. Oßwald) [https://www.o-bib.de/bib/article/view/5934/8904]; Bibliothek: Forschung und Praxis. 47(2023) H.2, S.415-417 (D. Weisbrod) [https://www.degruyter.com/document/doi/10.1515/bfp-2023-0031/html].
  6. Aleksander, K.: Antrag zur Aufnahme des Sachbegriffs "Gender" in die GemeinsameNormdatei (GND) der Deutschen Nationalbibliothek (DNB) : Inhaltserschließung in Bibliotheken und alternative Zukünfte. (2022) 0.03
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    Abstract
    Zu den Qualitätsanforderungen von Normdateien als Wissensorganisationssysteme gehört neben der eindeutigen Bestimmung des Begriffsumfangs einzelner Konzepte, der konsistenten terminologischen Kontrolle und Anreicherung durch Synonyme auch die Aktualität und Wissenschaftsnähe der Terminologie. Bereits in der sich in der BRD seit den 1970er-Jahren entwickelnden Frauenforschung spielte der Begriff "Geschlecht" eine zentrale Rolle. Der in den 1990er-/2000er-Jahren hier entstehenden Geschlechterforschung gab er ihren Namen.Seit dieser Zeit ist auch der Fachbegriff "Gender" aus der angloamerikanischen Forschung in der deutschen Geschlechterforschung/Gender Studies zur zentralen Kategorie geworden. In der GND ist er als eigenständiger Sachbegriff bisher nicht vorhanden.Da (nicht nur) die Geschlechterforschung/Gender Studies das Schlagwort Gender zur Beschlagwortung ihrer Fachliteratur benötigt, schlagen wir seine Aufnahme in die GND vor.
    Type
    a
  7. Kempf, A.O.: Thesauri (2023) 0.03
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    Abstract
    In der Informationswissenschaft stehen Thesauri für kontrollierte und strukturierte Vokabulare, in denen Begriffe, verstanden als geistige Einheiten, durch Bezeichnungen der natürlichen Sprache repräsentiert werden. Jedem Begriff werden eine Vorzugsbenennung, ein sog. Deskriptor, der bei der Inhaltserschließung als Schlagwort vergeben wird, und weitere bedeutungsgleiche oder -ähnliche Bezeichnungen, sog. Nicht-Deskriptoren, als Zugangsvokabular bzw. alternative Sucheinstiege zugewiesen. Dieser Art werden der Variabilität und der Mehrdeutigkeit natürlicher Sprache Rechnung getragen. Darüber hinaus werden zwischen Begriffen bzw. ihren Bezeichnungen spezifische, reziproke Relationen kenntlich gemacht (s. Abschnitt 1), die die Bedeutungsbeziehungen bzw. das "semantische Gefüge" zwischen den Begriffen aufzeigen. Diese Kernprinzipien dieser Wissensorganisationsmethode dienen sowohl auf Seiten der Inhaltserschließenden als auch auf Seiten der in einem Informationssystem Recherchierenden in unterschiedlicher Weise der Benutzerführung und Suchunterstützung. Als Grundlage für semantisches Retrieval etwa sorgen sie bei automatischer Erweiterung der Suchanfrage um die hinterlegten Nicht-Deskriptoren für eine erfolgreiche Suche weitgehend unabhängig vom konkreten Suchterm.
    Type
    a
  8. ¬Der Student aus dem Computer (2023) 0.02
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    Date
    27. 1.2023 16:22:55
    Type
    a
  9. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.02
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    Date
    2. 3.2020 14:08:22
    Type
    a
  10. Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023) 0.02
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  13. Koch, C.: Was ist Bewusstsein? (2020) 0.01
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  15. Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020) 0.01
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  19. Eyert, F.: Mathematische Wissenschaftskommunikation in der digitalen Gesellschaft (2023) 0.01
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  20. Wüllner, J.: Obsidian - das Organisationstalent : Ideen, Notizen, Planungen, Projekte - diese App kann für Schule, Uni und Beruf hilfreich sein (2023) 0.01
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