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Proceedings Paper

A meta-notation for data visualization
Author(s): Sang Yun Lee; Ulrich Neumann
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Paper Abstract

We describe a meta-notation devised to express the major structural characteristics in widely-used data visualizations. The meta-notation consists of unary and binary operators that can be combined to represent a visualization. Capturing structural features of a visualization, our meta-notation can be applied to match or compare two visualizations at a conceptual level. For example, a user's request for a visualization can be compared with visualization tools' presentation capabilities. The design of the operators is discussed as we present their underlying concepts and show examples of their use. To illustrate how expressive the meta-notation is, we explore some commonly-used data visualizations. A benefit of our approach is that the operators define a set of required capabilities on which a visualization system can be organized. Thus, the meta-notation can be used to design a system that interconnects various data visualization tools by sending and receiving visualization requests between them.

Paper Details

Date Published: 24 January 2011
PDF: 9 pages
Proc. SPIE 7868, Visualization and Data Analysis 2011, 78680V (24 January 2011); doi: 10.1117/12.872592
Show Author Affiliations
Sang Yun Lee, The Univ. of Southern California (United States)
Ulrich Neumann, The Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 7868:
Visualization and Data Analysis 2011
Pak Chung Wong; Jinah Park; Ming C. Hao; Chaomei Chen; Katy Börner; David L. Kao; Jonathan C. Roberts, Editor(s)

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