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  1. Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007) 0.37
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    Abstract
    Als Erfinder des «Allgemeinen» gilt, gemäß dem Bericht des Aristoteles und seit diesem Bericht, Sokrates. Er ist es, der nicht mehr danach suchte, woraus ein Ding zu dem geworden ist, was es ist, oder wie es entstanden ist, sondern danach, «was [ein Ding] ist», und somit ist Sokrates der erste gewesen, der die Herausarbeitung des Allgemeinen (?a?????) forderte und mit seinen Fragen seine Gesprächspartner zu dieser Herausarbeitung trieb bzw. lockte; die Definition (???sµ??) war das Ziel des sokratischen Gesprächs, und die sokratische Aporie war das Vehikel.
    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.
  2. Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019) 0.31
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    Abstract
    Eine der wesentlichen Aufgaben als Fachreferent*in ist die inhaltliche Erschließung der neuerworbenen Literatur, sowie die Begutachtung und Auswahl der neu erschienenen Werke in den jeweiligen Fachgebieten hinsichtlich der Relevanz für die eigenen Sammlungen gemäß dem Sammlungsprofil der TU Wien Bibliothek. Im Zuge der Corona-Krise wurde die herkömmliche Arbeitsweise in der Sacherschließung beeinträchtigt, und es haben sich neue Herausforderungen, aber auch Möglichkeiten ergeben. Neben der fehlenden Autopsie der Literatur leidet auch die Sichtung und Erwerbung neuer Literatur unter der physischen Abwesenheit vom Arbeitsplatz bzw. der entsprechenden technischen Infrastruktur. Auch der persönliche Austausch mit den Kolleg*innen wurde deutlich erschwert. Neben den Schwierigkeiten wurden aber auch die neuen Handlungsoptionen auf beruflicher und individueller Ebene positiv gesehen. In dem Artikel werden unsere individuellen Erfahrungen an der TU Wien Bibliothek sowie Ausblicke in die Zukunft wiedergegeben.
    Footnote
    https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 73(2020) H.3/4, S.496-503
  3. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.29
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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. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.24
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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/.
  5. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.23
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  6. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.22
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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
  7. Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013) 0.22
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    Abstract
    Wissenschaftliche Karrieren und Publikationen benötigen Reputation und möglichst viel Beachtung. Literatur, die diese Aufmerksamkeit findet, wird - so die gängige Annahme - häufig zitiert. Ausgehend von dieser Überlegung wurden Verfahren der Zitationsmessung entwickelt, die Auskunft über die Relevanz oder (wie im- und explizit oft auch postuliert wird) gar die Qualität einer Publikation oder eines Wissenschaftlers geben sollen.
    Content
    Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
  8. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.20
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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.
  9. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.19
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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.
    Content
    Der Beitrag basiert auf einem Vortrag beim 9. Ethiktag "Wissenschaft und Medien" am Zentrum für Ethik und Recht in der Medizin des Universitätsklinikums Freiburg im Februar 2001.
    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]
  10. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.17
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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.
  11. 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) 0.17
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  12. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.17
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  13. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.14
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    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
  14. Krämer, S.: Künstliche Intelligenz : der Aufstieg des Computers zum Modellbaukasten des Geistes (1994) 0.04
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    Abstract
    Die Interpreten Künstlicher Intelligenz sind konfrontiert mit einem Paradoxon. Die praktischen Wirkungen Künstlicher Intelligenz sind minimal. Doch theoretisch betrachtet entfaltet die Künstliche Intelligenz eine ungebrochene Attraktivität und füllt die Feuilleton-Seiten ebenso zugkräftig wie die philosophischen Seminare. Die Künstliche Intelligenz - diese Schlußfolgerung drängt sich auf - wirkt weniger als eine Technik, sondern als eine Idee. Nicht ihre faktische Ingenieurleistung zählt, sondern das ihr zugrundeliegende Modell vom Geist
    Source
    Information Philosophie. 22(1994) H.2, S.16-28
  15. Friederici, A.: Gehirn und Sprache : Neurobiologische Grundlagen der Sprachverarbeitung (1994) 0.04
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    Date
    22. 7.2000 18:43:38
    Source
    Geist - Gehirn - Künstliche Intelligenz: zeitgenössische Modelle des Denkens. Ringvorlesung an der Freien Universität. Hrsg.: S. Krämer
  16. Plomin, R.; DeFries, J.C.: Erblichkeit kognitiver Stärken und Schwächen (1999) 0.04
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    Abstract
    Schätzungsweise 30.000 unserer Gene werden im Gehirn ausgeprägt, und jedes könnte mit Intelligenz zu tun haben. Herauszufinden, welche davon bestimmt Komponenten unseres Intellekts mitgestalten oder zur Intelligenz allgemein beitragen, gleicht einer Sisyphusarbeit. Sie trägt aber erste Früchte
    Date
    22. 7.2000 19:01:54
  17. Rötzer, F.: Psychologen für die Künstliche Intelligenz (2018) 0.04
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    Abstract
    Künstliche Intelligenz kann lernen anhand von Erfahrungen und Vorgaben. Das Problem ist aber, dass sich maschinelles Lernen zwar in eine bestimmte Richtung steuern lässt, um bestimmte Probleme zu lösen, dass aber der Programmierer mitunter nicht mehr weiß, was in dem "künstlichen Gehirn" bzw. dem neuronalen Netzwerk vor sich geht, das mit zunehmender Komplexität und Lernerfahrung für den Menschen zur Black Box wird, wo man nur sehen kann, was an Daten einfließt und was herauskommt.
    Date
    22. 1.2018 11:08:27
    Source
    https://www.heise.de/tp/features/Psychologen-fuer-die-Kuenstliche-Intelligenz-3947256.html?view=print
  18. Zschunke, P.: Intelligenz nach Bauplan : "Computer sind dumm" - mit diesem Vorurteil muß man wohl in Zukunft vorsichtig sein. Neuronale Netze simulieren den Schaltplan des Gehirns. Sie sind lernfähig und fehlertolerant (1997) 0.04
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    Date
    18. 1.1997 12:15:22
  19. Adler, U.: Feministische Wissenschaftsorganisation (2013) 0.03
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    Abstract
    Anhand der Geschlechterforschung und feministische Wissenschaftstheorie wird einer der Aspekte der programmatischen Ausrichtung dieser Tagung aufgegriffen, die als notwendig erachtete Interdisziplinarität in der Forschung und speziell der Wissensforschung. Von unterschiedlichen Fachrichtungen her kommend hat die feministische Forschung die Fragen nach Erkenntnis neu aufgeworfen. Indem sie die alten Regeln zur Erkenntnisbestimmung in Frage stellt und neu definiert, entlarvt sie die herkömmliche, androzentrische Wissenschaftsdefinition als Herrschaftstechnik. Das feministische Standpunkt-Denken konstruiert Wissen aus der Perspektive des Lebens von Frauen. einem früher unerforschtem Aspekt. Darüber hinaus werden weitere Erkenntnisaspekte wie moralische, politische und kulturelle in die Wissenschaftsdebatte eingeführt und damit die Betrachtungsweise und der Untersuchungsradius für Forschung erweitert. Anhand typischer Vertreterinnen der feministischen Wissenschaftsforschung werden ihre Fragestellungen, ihre Ansätze und Schlussfolgerungen beispielhaft dargelegt und neue Wege der Erkenntnisgewinnung aufgezeigt.
  20. Blumauer, A.; Pellegrini, T.: Semantic Web Revisited : Eine kurze Einführung in das Social Semantic Web (2009) 0.03
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    Abstract
    Während in den vergangenen Monaten Themen wie Web 2.0 und Social Software ein erstaunliches Konjunkturhoch erlebt haben, vollzieht sich weitgehend abseits der öffentlichen Wahrnehmung eine technologische Komplementärinnovation. Die wachsende Adaption semantischer Technologien zu Zwecken der strukturierten Erschließung von "Web 2.0 Content", aber auch der Einsatz von Social Software zur kollaborativen Anreicherung von Web Content mit maschinenlesbaren Metadaten sind Ausdruck eines Trends in Richtung "Social Semantic Web". Bezeichnendes Merkmal dieser Entwicklung ist die voranschreitende Konvergenz zwischen Social Software und Semantic Web Technologien. Dieser Beitrag hat das Ziel ein allgemeines Bewusstsein und Verständnis dieser Entwicklung zu schaffen und nähert sich dem Phänomen aus einer nichttechnischen Perspektive.
    Pages
    S.3-22

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