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Modelling the Quality of Attributes in Wikipedia Infoboxes

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Business Information Systems Workshops (BIS 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 228))

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Abstract

Quality of data in DBpedia depends on underlying information provided in Wikipedia’s infoboxes. Various language editions can provide different information about given subject with respect to set of attributes and values of these attributes. Our research question is which language editions provide correct values for each attribute so that data fusion can be carried out. Initial experiments proved that quality of attributes is correlated with the overall quality of the Wikipedia article providing them. Wikipedia offers functionality to assign a quality class to an article but unfortunately majority of articles have not been graded by community or grades are not reliable. In this paper we analyse the features and models that can be used to evaluate the quality of articles, providing foundation for the relative quality assessment of infobox’s attributes, with the purpose to improve the quality of DBpedia.

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Notes

  1. 1.

    except those edited by multi-lingual editors and resulting from translation.

  2. 2.

    https://meta.wikimedia.org/wiki/List_of_Wikipedias.

  3. 3.

    https://en.wikipedia.org/wiki/Template:Grading_scheme.

  4. 4.

    alfa version available at http://wikirank.net.

  5. 5.

    This is obvious as with reduced number of classes we avoid misclassification within combined classes.

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Authors and Affiliations

  1. Poznań University of Economics, Al. Niepodległości 10, 61-875, Poznan, Poland

    Krzysztof Węcel & Włodzimierz Lewoniewski

Authors
  1. Krzysztof Węcel
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  2. Włodzimierz Lewoniewski
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Correspondence to Krzysztof Węcel .

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Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

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Węcel, K., Lewoniewski, W. (2015). Modelling the Quality of Attributes in Wikipedia Infoboxes. In: Abramowicz, W. (eds) Business Information Systems Workshops. BIS 2015. Lecture Notes in Business Information Processing, vol 228. Springer, Cham. https://doi.org/10.1007/978-3-319-26762-3_27

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  • DOI: https://doi.org/10.1007/978-3-319-26762-3_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26761-6

  • Online ISBN: 978-3-319-26762-3

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