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Reiner, U.: Automatische DDC-Klassifizierung bibliografischer Titeldatensätze der Deutschen Nationalbibliografie (2009) 0.10
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Abstract

Das Klassifizieren von Objekten (z. B. Fauna, Flora, Texte) ist ein Verfahren, das auf menschlicher Intelligenz basiert. In der Informatik - insbesondere im Gebiet der Künstlichen Intelligenz (KI) - wird u. a. untersucht, inweit Verfahren, die menschliche Intelligenz benötigen, automatisiert werden können. Hierbei hat sich herausgestellt, dass die Lösung von Alltagsproblemen eine größere Herausforderung darstellt, als die Lösung von Spezialproblemen, wie z. B. das Erstellen eines Schachcomputers. So ist "Rybka" der seit Juni 2007 amtierende Computerschach-Weltmeistern. Inwieweit Alltagsprobleme mit Methoden der Künstlichen Intelligenz gelöst werden können, ist eine - für den allgemeinen Fall - noch offene Frage. Beim Lösen von Alltagsproblemen spielt die Verarbeitung der natürlichen Sprache, wie z. B. das Verstehen, eine wesentliche Rolle. Den "gesunden Menschenverstand" als Maschine (in der Cyc-Wissensbasis in Form von Fakten und Regeln) zu realisieren, ist Lenat's Ziel seit 1984. Bezüglich des KI-Paradeprojektes "Cyc" gibt es CycOptimisten und Cyc-Pessimisten. Das Verstehen der natürlichen Sprache (z. B. Werktitel, Zusammenfassung, Vorwort, Inhalt) ist auch beim intellektuellen Klassifizieren von bibliografischen Titeldatensätzen oder Netzpublikationen notwendig, um diese Textobjekte korrekt klassifizieren zu können. Seit dem Jahr 2007 werden von der Deutschen Nationalbibliothek nahezu alle Veröffentlichungen mit der Dewey Dezimalklassifikation (DDC) intellektuell klassifiziert.

Date

22. 1.2010 14:41:24

Theme

Automatisches Klassifizieren

GERHARD : eine Spezialsuchmaschine für die Wissenschaft (1998) 0.06

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Theme: Automatisches Klassifizieren

Wolchover, N.: Wie ein Aufsehen erregender Beweis kaum Beachtung fand (2017) 0.02

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Date: 22. 4.2017 10:42:05
22. 4.2017 10:48:38

Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.02

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Date: 2. 3.2020 14:08:22

Wolfangel, E.: ¬Die Grenzen der künstlichen Intelligenz (2016) 0.02
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Content

"Wie lernen Maschinen überhaupt? Eine zentrale Unterscheidung betrifft die Art des Lernens: Algorithmen können überwacht oder unüberwacht lernen. Ersteres wird unter anderem für Klassifikationsaufgaben genutzt: Ist beispielsweise ein Mensch auf einem Foto oder nicht? Grundlage dafür sind Trainingsdaten, anhand derer der Algorithmus auf Vorgabe eines Menschen lernt, was das richtige Ergebnis ist - auf diesen 1000 Bildern ist ein Mensch, auf diesen 1000 nicht. Hat das System für alle eventuell vorkommenden Fälle genügend Trainingsdaten, so die Idee, lernt es daraus selbst, bislang unbekannte Bilder zu klassifizieren. Alphago lernte beispielsweise unter anderem anhand von Millionen menschlicher Go-Spielzüge.

Wagner, E.: Über Impfstoffe zur digitalen Identität? (2020) 0.02

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Date: 4. 5.2020 17:22:40

Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020) 0.02

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Date: 4. 5.2020 17:22:28

Arndt, O.: Totale Telematik (2020) 0.02

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Date: 22. 6.2020 19:11:24

Arndt, O.: Erosion der bürgerlichen Freiheiten (2020) 0.02

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Date: 22. 6.2020 19:16:24

Baecker, D.: ¬Der Frosch, die Fliege und der Mensch : zum Tod von Humberto Maturana (2021) 0.02

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Date: 7. 5.2021 22:10:24

Eyert, F.: Mathematische Wissenschaftskommunikation in der digitalen Gesellschaft (2023) 0.02

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Source: Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.22-25

Scheven, E.: Geokoordinaten in Bibliotheksdaten : Grundlage für innovative Nachnutzung (2015) 0.01

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Date: 16.11.2015 18:22:47

Hartmann, F.: Paul Otlets Hypermedium : Dokumentation als Gegenidee zur Bibliothek (2015) 0.01

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Date: 22. 8.2016 15:58:46

Schleim, S.: Warum die Wissenschaft nicht frei ist (2017) 0.01

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Date: 9.10.2017 15:48:22

Rötzer, F.: Chinesischer Roboter besteht weltweit erstmals Zulassungsprüfung für Mediziner (2017) 0.01

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Issue: [22. November 2017].

Landwehr, A.: China schafft digitales Punktesystem für den "besseren" Menschen (2018) 0.01

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Date: 22. 6.2018 14:29:46

Rötzer, F.: Psychologen für die Künstliche Intelligenz (2018) 0.01

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Date: 22. 1.2018 11:08:27

Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.01

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Date: 19. 2.2019 17:22:00

Hauff-Hartig, S.: Automatische Transkription von Videos : Fernsehen 3.0: Automatisierte Sentimentanalyse und Zusammenstellung von Kurzvideos mit hohem Aufregungslevel KI-generierte Metadaten: Von der Technologiebeobachtung bis zum produktiven Einsatz (2021) 0.01

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Date: 22. 5.2021 12:43:05

Hauff-Hartig, S.: Wissensrepräsentation durch RDF: Drei angewandte Forschungsbeispiele : Bitte recht vielfältig: Wie Wissensgraphen, Disco und FaBiO Struktur in Mangas und die Humanities bringen (2021) 0.01

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Date: 22. 5.2021 12:43:05

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