Zusammenfassung
Tagging-based systems enable users to categorize web resources by
means of tags (freely chosen keywords), in order to re-finding these
resources later. Tagging is implicitly also a social indexing process,
since users share their tags and resources, constructing a social
tag index, so-called folksonomy. At the same time of tagging-based
system, has been popularised an interface model for visual information
retrieval known as Tag-Cloud. In this model, the most frequently
used tags are displayed in alphabetical order. This paper presents
a novel approach to Tag-Cloud�s tags selection, and proposes the
use of clustering algorithms for visual layout, with the aim of improve
browsing experience. The results suggest that presented approach
reduces the semantic density of tag set, and improves the visual
consistency of Tag-Cloud layout.
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