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

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

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  • Approaches for enriching and improving textual knowledge bases 
    Fetahu, Besnik (Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2017)
    [no abstract]
  • Citation needed: A taxonomy and algorithmic assessment of Wikipedia's verifiability 
    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 ...
  • Combining a co-occurrence-based and a semantic measure for entity linking 
    Pereira Nunes, Bernardo; Dietze, Stefan; Casanova, Marco Antonio; Kawase, Ricardo; Fetahu, Besnik; Nejdl, Wolfgang (Heidelberg : Springer Verlag, 2013)
    One key feature of the Semantic Web lies in the ability to link related Web resources. However, while relations within particular datasets are often well-defined, links between disparate datasets and corpora of Web resources ...
  • Complex matching of RDF datatype properties 
    Pereira Nunes, Bernardo; Mera, Alexander; Casanova, Marco Antonio; Fetahu, Besnik; Paes Leme, Luiz André P.; Dietze, Stefan (Heidelberg : Springer, 2013)
    Property mapping is a fundamental component of ontology matching, and yet there is little support that goes beyond the identification of single property matches. Real data often requires some degree of composition, trivially ...
  • Effects of contributor experience on the quality of health-related wikipedia articles 
    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 ...
  • Evaluating relevance of educational resources of social and Semantic Web 
    Taibi, Davide; Fulantelli, Giovanni; Dietze, Stefan; Fetahu, Besnik (Heidelberg : Springer Verlag, 2013)
    The social web paradigm has modified the way people behave on the Web. Amongst the many consequences of this change the amount of online resources directly produced and shared by users has increased considerably. In this ...
  • Interlinking documents based on semantic graphs 
    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 ...
  • Neural OCR Post-Hoc Correction of Historical Corpora 
    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 ...
  • Simple-ML: Towards a Framework for Semantic Data Analytics Workflows 
    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 ...
  • Summaries on the fly: Query-based extraction of structured knowledge from web documents 
    Fetahu, Besnik; Pereira Nunes, Bernardo; Dietze, Stefan (Heidelberg : Springer Verlag, 2013)
    A large part of Web resources consists of unstructured textual content. Processing and retrieving relevant content for a particular information need is challenging for both machines and humans. While information retrieval ...
  • TableNet: An approach for determining fine-grained relations for wikipedia tables 
    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 ...