Tag-Cloud Drawing: Algorithms for Cloud Visualization

Kaser, Owen et Lemire, Daniel (2007). « Tag-Cloud Drawing: Algorithms for Cloud Visualization », dans Tagging and Metadata for Social Information Organization (WWW 2007) (16th International World Wide Web Conference, Banff, Canada, 8-16 mai 2007)

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Résumé

Tag clouds provide an aggregate of tag-usage statistics. They are typically sent as in-line HTML to browsers. However, display mechanisms suited for ordinary text are not ideal for tags, because font sizes may vary widely on a line. As well, the typical layout does not account for relationships that may be known between tags. This paper presents models and algorithms to improve the display of tag clouds that con- sist of in-line HTML, as well as algorithms that use nested tables to achieve a more general 2-dimensional layout in which tag relationships are considered. The first algorithms leverage prior work in typesetting and rectangle packing, whereas the second group of algorithms leverage prior work in Electronic Design Automation. Experiments show our algorithms can be efficiently implemented and perform well.

Type:	Communication, article de congrès ou colloque
Mots-clés ou Sujets:	Tag Cloud, Optimization
Unité d'appartenance:	Télé-université > UER Science et Technologie
Déposé par:	Daniel Lemire
Date de dépôt:	05 juin 2007
Dernière modification:	01 nov. 2014 02:03
Adresse URL :	http://archipel.uqam.ca/id/eprint/312

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