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Erschienen in:
2018 | OriginalPaper | Buchkapitel
A Method for Extracting Correct Links from Automatic Created Links on Folksonomy
verfasst von : Akio Kobayashi, Hiroki Sakaji, Masaki Kohana
Erschienen in: Advances in Network-Based Information Systems
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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.