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  1. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.40 
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  2. Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019) 0.40 
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    Footnote
    https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
  3. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.39 
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  4. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.39 
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  5. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.37 
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  6. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.34 
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    Abstract
    Das Problem der Wahrnehmung und Darstellung von Wahrheit durch die Medien führt zu vier zentralen Fragen: Wie viel Wahrheit gibt es in der Welt, über die Journalisten berichten müssen? Wie ermittelt oder recherchiert man diese Wahrheit? Wie trennt man die Spreu vom Weizen? Und wie geht man als Journalist mit dem um, was man als Wahrheit erkannt hat oder erkannt zu haben glaubt? Hier gibt es ganz offensichtlich eine Parallele zwischen Journalisten und Wissenschaftlern. Journalisten und Wissenschaftler brauchen erstens Hypothesen, zweitens geeignete Hypothesentests, drittens ein gutes Abgrenzungs-Kriterium und viertens Verfahren, um die erkannten Sachverhalte auf angemessene Weise für eine Kommunikation mit anderen zu repräsentieren, das heißt sie darzustellen. Es gibt zwei große Unterschiede zwischen Journalisten und Wissenschaftlern: Journalisten sind in der Regel auf raum-zeitlich begrenzte Aussagen aus, Wissenschaftler in der Regel auf raumzeitlich unbegrenzte Gesetze. Aber diese Unterschiede sind fließend, weil Wissenschaftler raum-zeitlich begrenzte Aussagen brauchen, um ihre All-Aussagen zu überprüfen, und Journalisten sich immer häufiger auf das Feld der allgemeinen Gesetzes-Aussagen wagen oder doch zumindest Kausalinterpretationen für soziale Phänomene anbieten. Der zweite Unterschied besteht darin, dass die Wissenschaft weitgehend professionalisiert ist (zumindest gilt dies uneingeschränkt für die Naturwissenschaften und die Medizin), was ihr relativ klare Abgrenzungs- und Güte-Kriterien beschert hat. Diese fehlen weitgehend im Journalismus.
    Source
    Politische Meinung. 381(2001) Nr.1, S.65-74 [https%3A%2F%2Fwww.dgfe.de%2Ffileadmin%2FOrdnerRedakteure%2FSektionen%2FSek02_AEW%2FKWF%2FPublikationen_Reihe_1989-2003%2FBand_17%2FBd_17_1994_355-406_A.pdf&usg=AOvVaw2KcbRsHy5UQ9QRIUyuOLNi]
  7. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.34 
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  8. Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007) 0.32 
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    Footnote
    DOI: 10.24894/HWPh.5033. Vgl. unter: https://www.schwabeonline.ch/schwabe-xaveropp/elibrary/start.xav#__elibrary__%2F%2F*%5B%40attr_id%3D%27verw.allgemeinesbesonderes%27%5D__1515856414979.
  9. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.29 
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    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  10. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.29 
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  11. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.29 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  12. Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013) 0.26 
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    Content
    Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
  13. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.24 
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    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
  14. Ohly, H.P.: Erstellung und Interpretation von semantischen Karten am Beispiel des Themas 'Soziologische Beratung' (2004) 0.14 
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    Abstract
    Bei der Analyse von Informationsströmen und -systemen mit statistischen Methoden werden die Ergebnisse gerne in Grafiken dargestellt, da diese intuitiv schneller zu erfassen sind und auch Laien ohne tiefere statistische Vorbildung eine Anschauung bekommen können. Klassisches Beispiel ist etwa die graphische Darstellung der Verluste des napoleonischen Heeres in Russland (Abb. 1). Unbeachtet bleibt dabei oft, dass trotz Einfachheit der Darstellung meist große Mengen von Daten herangezogen werden und diese dann lediglich nach wenigen Gesichtspunkten in eine Grafik projiziert werdens, was leicht auch zu Fehleinschätzungen führen kann. Es sind darum geeignete Verfahren auszuwählen, die eine adäquate und möglichst 'objektive' Interpretation ermöglichen.
    Theme
    Visualisierung
  15. Skorsky, M.: Graphische Darstellung eines Thesaurus (1997) 0.12 
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  16. Bauer, G.: Graphische Darstellung interdisziplinärer Wissensstrukturen (2004) 0.10 
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    Pages
    S.15-22
  17. Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995) 0.08 
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    Abstract
    TOSCANA is a computer program which allows an online interaction with larger data bases to analyse and explore data conceptually. It uses labelled line diagrams of concept lattices to communicate knowledge coded in given data. The basic problem to create online presentations of concept lattices is solved by composing prepared diagrams to nested line diagrams. A larger number of applications in different areas have already shown that TOSCANA is a useful tool for many purposes
    Source
    Knowledge organization. 22(1995) no.2, S.78-81
  18. Schwartz, D.: Graphische Datenanalyse für digitale Bibliotheken : Leistungs- und Funktionsumfang moderner Analyse- und Visualisierungsinstrumente (2006) 0.08 
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    Abstract
    Das World Wide Web stellt umfangreiche Datenmengen zur Verfügung. Für den Benutzer wird es zunehmend schwieriger, diese Datenmengen zu sichten, zu bewerten und die relevanten Daten herauszufiltern. Einen Lösungsansatz für diese Problemstellung bieten Visualisierungsinstrumente, mit deren Hilfe Rechercheergebnisse nicht mehr ausschließlich über textbasierte Dokumentenlisten, sondern über Symbole, Icons oder graphische Elemente dargestellt werden. Durch geeignete Visualisierungstechniken können Informationsstrukturen in großen Datenmengen aufgezeigt werden. Informationsvisualisierung ist damit ein Instrument, um Rechercheergebnisse in einer digitalen Bibliothek zu strukturieren und relevante Daten für den Benutzer leichter auffindbar zu machen.
    Theme
    Visualisierung
  19. Kuhlen, R.; Hammwöhner, R.; Sonnenberger, G.; Thiel, U.: TWRM-TOPOGRAPHIC : ein wissensbasiertes System zur situationsgerechten Aufbereitung und Präsentation von Textinformation in graphischen Retrievaldialogen (1988) 0.08 
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    Abstract
    Ausgehend von einer Diskussion der Gestaltungskonzeptionen und der Leistungsfähigkeit heutiger Volltext-Retrieval-Systeme wird ein Überblick über den Leistungsumfang des für die Aufbereitung und Präsentation von Textinformation zuständigen Systems TWRM-TOPOGRAPHIC gegeben. TWRM-TOPOGRAPHIC ist Teil eines neuartigen Informationssystems, das sich auf inhaltsorientierte Repräsentation von Volltexten stützt. Die beiden wesentlichsten Leistungsmerkmale von TWRM-TOPOGRAPHIC sind die graphische Retrievaldialogführung und die flexible, situationsgerechte Aufbereitung und Präsentation von Textwissen: Die Dialogführung erlaubt dem Benutzer die direkte Navigation in den auf dem Bildschirm graphisch dargestellten Wissensstrukturen, die Selektion dargestellter Objekte zur Formulierung einer Query sowie das Wechseln des Abstraktionsniveaus der dargestellten Textinformation. Die Aufbereitung und die Präsentation von Textwissen sind kognitiv-ergonomisch begründet und berücksichtigen sowohl die begrenzte Aufnahmekapazität der Benutzer als auch die Bedeutung der zeitlichen Anordnung von Informationseinheiten für die Wahmehmungs- und Gedächtnisleistung der Rezipienten. Textwissen wird in unterschiedlichen Abstraktionsstufen präsentiert: von einer sehr generischen Ebene über Wissensgraphen, automatisch generierten Abstracts bis zur diskursiven Form der Textpassage. Die Generierungskomponente des Systems leistet einen Beitrag zum situationsgerechten Systemverhalten dadurch, daß sie aus semantischen Text-Repräsentationsstrukturen unter Berücksichtigung textueller Wohlgeformtheitsbedingungen benutzerangepaßte Abstracts mit unterschiedlichem Themenschwerpunkt und variabler Ausführlichkeit produziert. Die Erprobung verschiedener LayoutVerfahren im Projekt TWRM-TOPOGRAPHIC wird durch ein flexibles, objektorientiert spezifiziertes User-Interface-Mangagement-System (UIMS) unterstützt, dessen Objektklassen und deren Interaktionsmöglichkeiten vorgestellt werden. Die Darstellung des Systems wird mit einem ausführlichen Dialogbeispiel abgeschlossen, das die Funktion des Interface und die Wirkung der drei zentralen Operatoren (Select, Zoom und Browse) im Retrievaldialog illustriert.
    Date
    15. 1.2005 14:10:22
  20. Wattenberg, M.; Viégas, F.; Johnson, I.: How to use t-SNE effectively (2016) 0.06 
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    Abstract
    Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading. By exploring how it behaves in simple cases, we can learn to use it more effectively. We'll walk through a series of simple examples to illustrate what t-SNE diagrams can and cannot show. The t-SNE technique really is useful-but only if you know how to interpret it.
    Theme
    Visualisierung

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