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WC3: Analyzing the Style of Metadata Annotation Among Wikipedia Articles by Using Wikipedia Category and the DBpedia Metadata Database

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Book cover Knowledge Graphs and Language Technology (ISWC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10579))

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Abstract

WC3 (Wikipedia Category Consistency Checker) is a system that supports the analysis of the metadata-annotation style in Wikipedia articles belonging to a particular Wikipedia category (the subcategory of “Categories by parameter”) by using the DBpedia metadata database. This system aims to construct an appropriate SPARQL query to represent the category and compares the retrieved results and articles that belong to the category. In this paper, we introduce WC3 and extend the algorithm to analyze efficiently additional varieties of Wikipedia category. We also discuss the metadata-annotation quality of the Wikipedia by using WC3. URL of WC3 is http://wnews.ist.hokudai.ac.jp/wc3/ and related files are available at http://wnews.ist.hokudai.ac.jp/wc3/KEKI.

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Notes

  1. 1.

    http://www.wikipedia.org/.

  2. 2.

    The link for WC3 has moved from http://wnews.ist.hokudai.ac.jp/wc3/ to http://wnews.ist.hokudai.ac.jp/wc3/old.

  3. 3.

    https://petscan.wmflabs.org/.

  4. 4.

    http://wiki.dbpedia.org/Datasets2014/.

  5. 5.

    In this paper, we use the abbreviations “dbo”, “dbp”, “dbr” and “rdf”, for “http://dbpedia.org/ontology”, “http://dbpedia.org/property”, “http://dbpedia.org/resource” and “http://www.w3.org/1999/02/22-rdf-syntax-ns#type”.

  6. 6.

    Metadata related to YAGO [4] are excluded, because it uses Wikipedia category information as a resource to extract the data.

  7. 7.

    http://wiki.dbpedia.org/Downloads2015-04.

  8. 8.

    Files related to the experiments are available at http://wnews.ist.hokudai.ac.jp/wc3/KEKI.

  9. 9.

    http://wnews.ist.hokudai.ac.jp/wc3/.

  10. 10.

    All English Wikipedia articles referred to in this section were accessed on March 7, 2017.

  11. 11.

    Because the rendering time for displaying the results was less than a second, the time for SPARQL query generation is almost equivalent to the total response time.

  12. 12.

    https://en.wikipedia.org/wiki/Category:People_from_Tokyo.

  13. 13.

    http://ja.dbpedia.org/.

  14. 14.

    http://wnews.ist.hokudai.ac.jp/wc3ja.

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Acknowledgment

This work was partially supported by JSPS KAKENHI Grant Number 25280035 and 16H01756.

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Authors and Affiliations

  1. Graduate School of Information Science and Technology, Hokkaido University, N14 W9, Kita-ku, Sapporo, 060-0814, Japan

    Masaharu Yoshioka

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  1. Masaharu Yoshioka
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Correspondence to Masaharu Yoshioka .

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Editors and Affiliations

  1. Digital Humanities Group, KNAW Humanities Cluster, Amsterdam, The Netherlands

    Marieke van Erp

  2. University of Leipzig, Leipzig, Germany

    Sebastian Hellmann

  3. National University of Ireland, Galway, Ireland

    John P. McCrae

  4. Institut für Informatik, Goethe University Frankfurt, Frankfurt, Hessen, Germany

    Christian Chiarcos

  5. Division of Web Science and Technology, Department of Computer Science, KAIST, Daejeon, Korea (Republic of)

    Key-Sun Choi

  6. Universidad Politécnica de Madrid, Madrid, Spain

    Jorge Gracia

  7. Waseda University, Tokyo, Japan

    Yoshihiko Hayashi

  8. Ontolonomy LLC, Yokohama, Japan

    Seiji Koide

  9. Apple San Francisco, San Francisco, California, USA

    Pablo Mendes

  10. Inst für Info & Wirtschaftsinfo, Universität Mannheim, Mannheim, Baden-Württemberg, Germany

    Heiko Paulheim

  11. National Institute of Informatics, Tokyo, Japan

    Hideaki Takeda

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Yoshioka, M. (2017). WC3: Analyzing the Style of Metadata Annotation Among Wikipedia Articles by Using Wikipedia Category and the DBpedia Metadata Database. In: van Erp, M., et al. Knowledge Graphs and Language Technology. ISWC 2016. Lecture Notes in Computer Science(), vol 10579. Springer, Cham. https://doi.org/10.1007/978-3-319-68723-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-68723-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68722-3

  • Online ISBN: 978-3-319-68723-0

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