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  1. Zanibbi, R.; Yuan, B.: Keyword and image-based retrieval for mathematical expressions (2011) 0.05
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    Abstract
    Two new methods for retrieving mathematical expressions using conventional keyword search and expression images are presented. An expression-level TF-IDF (term frequency-inverse document frequency) approach is used for keyword search, where queries and indexed expressions are represented by keywords taken from LATEX strings. TF-IDF is computed at the level of individual expressions rather than documents to increase the precision of matching. The second retrieval technique is a form of Content-Base Image Retrieval (CBIR). Expressions are segmented into connected components, and then components in the query expression and each expression in the collection are matched using contour and density features, aspect ratios, and relative positions. In an experiment using ten randomly sampled queries from a corpus of over 22,000 expressions, precision-at-k (k= 20) for the keyword-based approach was higher (keyword: µ= 84.0,s= 19.0, image-based:µ= 32.0,s= 30.7), but for a few of the queries better results were obtained using a combination of the two techniques.
    Date
    22. 2.2017 12:53:49
  2. Zeilmann, K.; Beer, K.; dpa: Tablet statt Lehrbuch : wie die Digitalisierung die Unis verändert (2016) 0.02
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  3. 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
  4. Graf, K.: Sci Hub, Fernleihe und Open Access (2016) 0.02
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  5. Jeffrey, K.: Erinnerung ist manipulierbar (2018) 0.02
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  6. Strittmatter, K.: Chinas digitaler Plan für den besseren Menschen (2017) 0.02
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  7. Lehmann, K.: Geist? Welcher Geist? (2017) 0.02
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  8. McGrath, K.: Thoughts on FRBR and moving images (2014) 0.02
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  9. Aleksander, K.: Geschlechterbewusste Verschlagwortung : Bericht über die Sitzung der öffentlichen Arbeitsgruppe Gender/Diversity in Bibliotheken am 15.03.2016 (2016) 0.02
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  10. Kollmann, K.: Urfaschismus : Die Gruppen und ihr Druck (2019) 0.02
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  11. 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
  12. 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
  13. Schleim, S.: Körper ist Geist (2017) 0.01
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    Abstract
    Bezugnahme auf: Lehmann, K.: Denken mit Leib und Seele. Unter: https://www.heise.de/tp/features/Denken-mit-Leib-und-Seele-3593478.html. Konrad Lehmann wies in seinem Artikel vom 27. Mai auf Probleme hin, Bewusstsein naturwissenschaftlich zu erklären. Er kritisierte das uneingelöste Versprechen des Materialismus beziehungsweise Physikalismus und diskutierte alternative Ansätze, wie den Panpsychismus, Idealismus und praktischen Materialismus. Meiner Meinung nach muss man Aussagen über das Sein (also ontologische Aussagen) klarer von Aussagen über unsere Erkenntnis (also epistemische Aussagen) trennen, als Lehmann dies getan hat. Außerdem sollte man ein Problem klarer definieren, bevor man es diskutiert. Nach einer Replik auf den Artikel Lehmanns möchte ich meine eigenen Gedanken zum Leib-Seele-Problem zur Diskussion stellen. Dabei gehe ich auch auf Aussagen über den Erkenntniswert der Neurowissenschaften zum Verständnis des Bewusstseins ein. Mein Vorschlag ist, sich vom traditionellen Leib-Seele-Problem zu verabschieden, da es eher ein Problem unseres Denkens als ein Problem der Welt ist. Replik darauf: Lehmann, K.: Geist? Welcher Geist?. [04. Juni 2017]. Unter: https://www.heise.de/tp/features/Geist-Welcher-Geist-3733426.html.
  14. Helbig, K.; Biernacka, K.; Buchholz, P.; Dolzycka, D.; Hartmann, N.; Hartmann, T.; Hiemenz, B.M.; Jacob, B.; Kuberek, M.; Weiß, N.; Dreyer, M.: Lösungen und Leitfäden für das institutionelle Forschungsdatenmanagement (2019) 0.01
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  15. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.01
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    Abstract
    This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
  16. Danskin, A.; Gryspeerdt, K.: Changing the Rules? : RDA and cataloguing in Europe. (2014) 0.01
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  17. Baierer, K.; Zumstein, P.: Verbesserung der OCR in digitalen Sammlungen von Bibliotheken (2016) 0.01
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  18. Bubenhofer, N.; Rothenhäusler, K.: "Korporatheken" : die digitale und verdatete Bibliothek (2016) 0.01
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  19. Benesch, K.: Wissenschaft im Zeitalter des Antiprofessionalismus (2017) 0.01
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  20. Gödert, W.; Lepsky, K.: Reception of externalized knowledge : a constructivistic model based on Popper's Three Worlds and Searle's Collective Intentionality (2019) 0.01
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