Authors:
Stefan Jänicke
and
Gerik Scheuermann
Affiliation:
Leipzig University, Germany
Keyword(s):
Tag Clouds, Text Visualization, Hierarchical Data.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Information and Scientific Visualization
;
Text and Document Visualization
Abstract:
Tag clouds are widely applied, popular visualization techniques as they illustrate summaries of textual data in
an intuitive, lucid manner. Many layout algorithms for tag clouds have been developed in the recent years,
but none of these approaches is designed to reflect the notion of hierarchical distance. For that purpose,
we introduce a novel tag cloud layout called TagSpheres. By arranging tags on various hierarchy levels and
applying appropriate colors, the importance of individual tags to the observed topic gets assessable. To explore
relationships among various hierarchy levels, we aim to place related tags closely. Three usage scenarios
from the digital humanities, sports and aviation, and an evaluation with humanities scholars exemplify the
applicability and point out the benefit of TagSpheres.