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A Method for Extracting Correct Links from Automatic Created Links on Folksonomy

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Advances in Network-Based Information Systems (NBiS 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

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Abstract

A folksonomy is a system to classify an online item/concept by a short text label as a tag that is applied by users. Many folksonomies include many tags that consist words of long-tail contents. To explain these tags, A wiki-like system provided by some folksonomy services for user understanding. These systems provide a function that creates a link to another article automatically that described in an article for enriching the articles. The cause of the automatic link construction function, those wiki-like systems includes many incorrect links. By these incorrect links, it is hard to use the systems for applications that use Wikipedia internal links. Therefore, we propose a method for extracting correct links from all of the automatically created links.

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Notes

  1. 1.

    Hatena Keyword http://d.hatena.ne.jp/keyword/.

  2. 2.

    Nico Nico Pedia http://dic.nicovideo.jp.

References

  1. Horita, K., Kimura, F., Maeda, A.: Automatic keyword extraction for wikification of east asian language documents. Int. J. Comput. Theory Eng. 8(1), 32 (2016)

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  4. Wal, T.V.: Folksonomy coinage and definition (2007). http://vanderwal.net/folksonomy.html

  5. Wikipedia: Pointwise mutual information. https://en.wikipedia.org/wiki/Pointwise_mutual_information

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Author information

Authors and Affiliations

  1. Toyohashi University of Technology, Toyohashi, Aichi, Japan

    Akio Kobayashi

  2. The University of Tokyo, Bunkyo-ku, Tokyo, Japan

    Hiroki Sakaji

  3. Ibaraki University, Hitachi, Ibaraki, Japan

    Masaki Kohana

Authors
  1. Akio Kobayashi
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  2. Hiroki Sakaji
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  3. Masaki Kohana
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Corresponding author

Correspondence to Akio Kobayashi .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

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© 2018 Springer International Publishing AG

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Kobayashi, A., Sakaji, H., Kohana, M. (2018). A Method for Extracting Correct Links from Automatic Created Links on Folksonomy. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_106

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_106

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

  • eBook Packages: EngineeringEngineering (R0)

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