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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

Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.05

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Source: https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H

Lindholm, J.; Schönthal, T.; Jansson , K.: Experiences of harvesting Web resources in engineering using automatic classification (2003) 0.04

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Theme: Automatisches Klassifizieren

Dolin, R.; Agrawal, D.; El Abbadi, A.; Pearlman, J.: Using automated classification for summarizing and selecting heterogeneous information sources (1998) 0.03

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Theme: Automatisches Klassifizieren

Hagedorn, K.; Chapman, S.; Newman, D.: Enhancing search and browse using automated clustering of subject metadata (2007) 0.03

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Theme: Automatisches Klassifizieren

Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.02

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Date: 22. 7.2006 15:22:28

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

Dunning, A.: Do we still need search engines? (1999) 0.02

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Source: Ariadne. 1999, no.22

Qin, J.; Paling, S.: Converting a controlled vocabulary into an ontology : the case of GEM (2001) 0.02

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Date: 24. 8.2005 19:20:22

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.

Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015) 0.02

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Date: 22. 2.2017 12:51:57

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

Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011) 0.02

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Content: Vgl.: DocEng2011, September 19-22, 2011, Mountain View, California, USA Copyright 2011 ACM 978-1-4503-0863-2/11/09
Date: 22. 2.2017 13:00:42

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