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Part of the book series: Studies in Computational Intelligence ((SCI,volume 299))

Abstract

The Introduction of web 2.0 and social software make significant changes in users’ utilization of the web. User involvement in processes restricted so far to system designers and developers is more and more evident. One of the examples of such involvement is tagging. Tagging is a process of labeling (annotating) digital items – called resources – by users. The labels – called tags – assigned to those resources reflect users’ ways of seeing, categorizing, and perceiving particular items. As the result a network of interconnected resources and tags is created. Connections between resources and tags are weighted with numbers reflecting how many times a given tag has been used to label a resource.

A network of resources and tags constitutes an environment suitable for building fuzzy representations of those resources, as well as tags. This simple concept is investigated here. The paper describes principles of the concept and shows some examples of its utilization. A short discussion dedicated to interrelations between tagging and fuzziness is included.

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Yager, R.R., Reformat, M. (2010). Tagging and Fuzzy Sets. In: Sgurev, V., Hadjiski, M., Kacprzyk, J. (eds) Intelligent Systems: From Theory to Practice. Studies in Computational Intelligence, vol 299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13428-9_1

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  • DOI: https://doi.org/10.1007/978-3-642-13428-9_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13427-2

  • Online ISBN: 978-3-642-13428-9

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