Auflistung Forschungszentren nach Autor/in "289923ab-3caf-498f-990e-3ffb8784d224"

Auflistung Forschungszentren nach Autor/in "289923ab-3caf-498f-990e-3ffb8784d224"

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  • Redi, Miriam; Morgan, Jonathan; Fetahu, Besnik; Taraborelli, Dario (New York, NY : Association for Computing Machinery, Inc, 2019)
    Wikipedia is playing an increasingly central role on the web, and the policies its contributors follow when sourcing and fact-checking content affect million of readers. Among these core guiding principles, verifiability ...
  • Holtz, Peter; Fetahu, Besnik; Kimmerle, Joachim (Richmond, Va. : Healthcare World, 2018)
    Background: Consulting the Internet for health-related information is a common and widespread phenomenon, and Wikipedia is arguably one of the most important resources for health-related information. Therefore, it is ...
  • Nunes, Bernardo Pereira; Kawase, Ricardo; Fetahu, Besnik; Dietze, Stefan; Casanova, Marco Antonio; Maynard, Diana (Amsterdam [u.a.] : Elsevier, 2013)
    Connectivity and relatedness of Web resources are two concepts that define to what extent different parts are connected or related to one another. Measuring connectivity and relatedness between Web resources is a growing ...
  • Lyu, Lijun; Koutraki, Maria; Krickl, Martin; Fetahu, Besnik ([Erscheinungsort nicht ermittelbar] : Association for Computational Linguistics, 2021)
    Optical character recognition (OCR) is crucial for a deeper access to historical collections. OCR needs to account for orthographic variations, typefaces, or language evolution (i.e., new letters, word spellings), as the ...
  • Gottschalk, Simon; Tempelmeier, Nicolas; Kniesel, Günter; Iosifidis, Vasileios; Fetahu, Besnik; Demidova, Elena (Heidelberg : Springer Verlag, 2019)
    In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of semantic technologies. We present semantic ...
  • Fetahu, Besnik; Anand, Avishek; Koutraki, Maria (New York, NY : Association for Computing Machinery, Inc, 2019)
    We focus on the problem of interlinking Wikipedia tables with fine-grained table relations: equivalent and subPartOf. Such relations allow us to harness semantically related information by accessing related tables or facts ...

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