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A Model for Enriching Multilingual Wikipedias Using Infobox and Wikidata Property Alignment

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Semantic Technology (JIST 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8943))

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Abstract

Wikipedia supports a large converged data with millions of contributions in more than 287 languages currently. Its content changes rapidly and continuously every hour with thousands of edits which trigger many challenges for Wikipedia in controlling, associating and balancing article content among language editions. This paper provides some processes to enrich Wikipedia content, which will retrieve semantic relations based on alignment between infobox properties and Wikidata properties in various languages. Then, the outcomes mainly contribute these semantic relations back to Wikidata and Wikipedias, especially ones are based on the Latin alphabet. The case study will offer a specific case about aligning biological infoboxes and detecting missing interwiki links of biological species at Vietnamese Wikipedia and English Wikipedia.

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Author information

Authors and Affiliations

  1. Shinawatra University, Bangkok, Thailand

    Thang Hoang Ta

  2. Asian University, Chonburi, Thailand

    Chutiporn Anutariya

Authors
  1. Thang Hoang Ta
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  2. Chutiporn Anutariya
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Corresponding author

Correspondence to Thang Hoang Ta .

Editor information

Editors and Affiliations

  1. National Electronics and Computer Technology Center, Pathum Thani, Thailand

    Thepchai Supnithi

  2. Keio University Fac. of Science & Technology, Yokohama, Japan

    Takahira Yamaguchi

  3. Department of Computing Science, University of Aberdeen, Aberdeen, United Kingdom

    Jeff Z. Pan

  4. Asian University, Chonburi, Thailand

    Vilas Wuwongse

  5. National Electronics Computer Tech Ctr, Sci Park, Pathumthani, Thailand

    Marut Buranarach

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© 2015 Springer International Publishing Switzerland

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Ta, T.H., Anutariya, C. (2015). A Model for Enriching Multilingual Wikipedias Using Infobox and Wikidata Property Alignment. In: Supnithi, T., Yamaguchi, T., Pan, J., Wuwongse, V., Buranarach, M. (eds) Semantic Technology. JIST 2014. Lecture Notes in Computer Science(), vol 8943. Springer, Cham. https://doi.org/10.1007/978-3-319-15615-6_25

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  • DOI: https://doi.org/10.1007/978-3-319-15615-6_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15614-9

  • Online ISBN: 978-3-319-15615-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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