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  1. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.28 
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    Date
    29. 8.2009 21:15:48
    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.
  2. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.28 
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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
  3. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.28 
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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/.
  4. Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019) 0.28 
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    Footnote
    https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
  5. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.28 
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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.
  6. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.28 
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  7. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.24 
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    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. 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) 0.21 
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    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  9. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.21 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  10. Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007) 0.20 
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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.
  11. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.17 
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    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]
  12. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.17 
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    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
  13. Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013) 0.16 
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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.
  14. Kanaeva, Z.: Ranking: Google und CiteSeer (2005) 0.14 
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    Abstract
    Im Rahmen des klassischen Information Retrieval wurden verschiedene Verfahren für das Ranking sowie die Suche in einer homogenen strukturlosen Dokumentenmenge entwickelt. Die Erfolge der Suchmaschine Google haben gezeigt dass die Suche in einer zwar inhomogenen aber zusammenhängenden Dokumentenmenge wie dem Internet unter Berücksichtigung der Dokumentenverbindungen (Links) sehr effektiv sein kann. Unter den von der Suchmaschine Google realisierten Konzepten ist ein Verfahren zum Ranking von Suchergebnissen (PageRank), das in diesem Artikel kurz erklärt wird. Darüber hinaus wird auf die Konzepte eines Systems namens CiteSeer eingegangen, welches automatisch bibliographische Angaben indexiert (engl. Autonomous Citation Indexing, ACI). Letzteres erzeugt aus einer Menge von nicht vernetzten wissenschaftlichen Dokumenten eine zusammenhängende Dokumentenmenge und ermöglicht den Einsatz von Banking-Verfahren, die auf den von Google genutzten Verfahren basieren.
    Date
    20. 3.2005 16:23:22
  15. Schöch, V.C.: ¬Die Suchmaschine Google (2001) 0.09 
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    Abstract
    Google ist die erste Suchmaschine, die ihre Wurzeln an einer Uni hat. Sie wurde ursprünglich von S. Brin und L. Page aus Stanford lediglich als Proof of Concept implementiert [BP98]. Den gesuchten Beweis für die implementierten Konzepte erbrachte sie aber so überzeugend, dass sie innerhalb weniger Monate zu einer der populärsten universellen Suchmaschinen wurde. Unter den von der Suchmaschine Google zu Testzwecken implementierten Konzepten sind insbesondere zwei Verfahren zum Ranking von Suchergebnissen, auf die in diesem Papier näher eingegangen wird: PageRank (Abschnitt 6) und Anchor Text (Abschnitt 7).
  16. Metahaven: Periphere Kräfte : zur Relevanz von Marginalität in Netzwerken (2009) 0.09 
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    Abstract
    Gegenstand dieses Beitrags ist das Ranking. Das Ranking ist der schwer greifbare, komplizierte, im Inneren der Suchmaschine verborgene Mechanismus, der unsere Interaktion mit den Informationen im Web strukturiert. Trotz der Komplexität des Ranking sieht die Suche bei den meisten Suchmaschinen täuschend einfach aus: man schreibt ein Wort in das leere Textfeld, in dem der Cursor blinkt, klickt auf "Suche" und erhält eine Liste mit Resultaten. Je nachdem, was man eingegeben hat, ist diese Liste kurz oder lang. Doch keine Suchmaschine zeigt die Resultate, ohne sie in Form einer Hierarchie zu strukturieren. Dies sieht zunächst wie ein gewöhnlicher, alltäglicher Vorgang aus, vergleichbar mit der Art, wie wir im Alltag zwischen relevanter und irrelevanter, zwischen Vordergrund- und Hintergrundinformation unterscheiden. Schließlich richten sich auch unsere eigenen Hierarchien der Sichtbarkeit nach bestimmten Bedürfnissen, Glaubensgrundsätzen und Begrenzungen. Oft belohnt die Hierarchie des Ranking das, was bereits beliebt ist. Wie ein Echo scheint die Suche schon zu wissen, was wir "wollen", bevor wir überhaupt fragen. Die Schwelle des Ranking neigt auch dazu, weniger verbreitete Richtungen oder Meinungen über große, öffentliche Themen zu unterdrücken. Jeder Versuch, die Suchmaschine neu zu denken, beginnt mit einer Infragestellung der Prinzipien der Relevanz und Beliebtheit, die dem Ranking innewohnen. In diesem Essay beschäftigen wir uns damit, wie Ranking-Mechanismen sich als gesellschaftliche Phänomene äußern, und wie eine andere Sicht auf die gesellschaftliche Bedeutung von "schwachen Bindungen". zu einer größeren Wertschätzung ihrer Relevanz in Netzwerken führen kann.
  17. Lewandowski, D.: Mit welchen Kennzahlen lässt sich die Qualität von Suchmaschinen messen? (2007) 0.08 
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    Abstract
    Suchmaschinen bilden den bedeutendsten Zugang zu den im World Wide Web verfügbaren Informationen und haben andere Zugänge zu diesem Informationsbestand (wie etwa Internetverzeichnisse) weitgehend verdrängt. Der Suchmaschinenmarkt ist stark konzentriert; nur wenige Anbieter mit eigener Technologie bieten selbst Endnutzerlösungen an und lizenzieren ihre Technologie an die bekannten Web-Portale wie AOL oder T-Online. Die im vorliegenden Kapitel dargestellten Kennzahlen zur Messung der Qualität von Suchmaschinen basieren einerseits auf Erkenntnissen über den State of the Art der Suchmaschinentechnologie, andererseits stehen sie im Kontext eines umfassenderen Modells der Qualitätsmessung für Web-Suchmaschinen. Die besondere Bedeutung von Erkenntnissen über die Qualität der bestehenden Suchmaschinen ergibt sich einerseits aus ihrer Bedeutung für die Weiterentwicklung der Suchmaschinentechnologie. Qualitätsuntersuchungen geben Hinweise auf die Schwachstellen der Suchmaschinen im Allgemeinen und die ihrer Ranking-Algorithmen im Besonderen. Letztere sind als zentral für die Ergebnisqualität anzusehen und bilden den >Kern< der technologischen Leistungsfähigkeit einer jeden Suchmaschine.
    Date
    13. 5.2007 10:29:29
  18. Heinz, M.; Voigt, H.: Aufbau einer Suchmaschine für ein Forschungsinstitut : Aufgabe für die Bibliothek? (2000) 0.08 
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    Abstract
    Anhand eines einfachen Modells wird geprüft, ob der Nutzen den Aufbau einer Spezialsuchmaschine trägt. Zum Vergleich werden fünf große Suchmaschinen herangezogen und deren Ergebnisse bei gleichen Fragestellungen analysiert. Es ergeben sich gravierende Abweichungen sowohl in der Überdeckung der Ergebnismengen als auch im Ranking. Es erscheint also sinnvoll, eine eigene Suchmaschine zu betreiben
  19. Frankemölle, G.: Suchservice für Ihre Seiten : Suchmaschine für die eigene Homepage (2001) 0.08 
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    Abstract
    Mit einem Online-Dienst bauen Sie schnell und gratis eine Suchmaschine in ihre Homepage ein
    Date
    29. 1.2001 9:02:47
  20. Dobrota, M.; Dobrota, M.: ARWU ranking uncertainty and sensitivity : what if the award factor was Excluded? (2016) 0.08 
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    Abstract
    The Academic Ranking of World Universities (ARWU) uses six university performance indicators, including "Alumni" and "Awards"-the number of alumni and staff winning Nobel Prizes and Fields Medals. These two indicators raised doubts about the reliability of this ranking method because they are difficult to cope with. Recently, a newsletter was published featuring a reduced ARWU ranking list, leaving out Nobel Prize and Fields Medal indicators: the Alternative Ranking (Excluding Award Factor). We used uncertainty and sensitivity analyses to examine and compare the stability and confidence of the official ARWU ranking and the Alternative Ranking. The results indicate that if the ARWU ranking is reduced to the 4-indicator Alternative Ranking, it shows greater certainty and stability in ranking universities.
    Date
    22. 1.2016 14:40:53

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