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.
Hatena Keyword http://d.hatena.ne.jp/keyword/.
- 2.
Nico Nico Pedia http://dic.nicovideo.jp.
References
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Wikipedia: Pointwise mutual information. https://en.wikipedia.org/wiki/Pointwise_mutual_information
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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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