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Proceedings Paper

Metadata Mapper: a web service for mapping data between independent visual analysis components, guided by perceptual rules
Author(s): Bernice E. Rogowitz; Naim Matasci
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Paper Abstract

The explosion of online scientific data from experiments, simulations, and observations has given rise to an avalanche of algorithmic, visualization and imaging methods. There has also been enormous growth in the introduction of tools that provide interactive interfaces for exploring these data dynamically. Most systems, however, do not support the realtime exploration of patterns and relationships across tools and do not provide guidance on which colors, colormaps or visual metaphors will be most effective. In this paper, we introduce a general architecture for sharing metadata between applications and a "Metadata Mapper" component that allows the analyst to decide how metadata from one component should be represented in another, guided by perceptual rules. This system is designed to support "brushing [1]," in which highlighting a region of interest in one application automatically highlights corresponding values in another, allowing the scientist to develop insights from multiple sources. Our work builds on the component-based iPlant Cyberinfrastructure [2] and provides a general approach to supporting interactive, exploration across independent visualization and visual analysis components.

Paper Details

Date Published: 4 March 2011
PDF: 13 pages
Proc. SPIE 7865, Human Vision and Electronic Imaging XVI, 78650I (4 March 2011); doi: 10.1117/12.881734
Show Author Affiliations
Bernice E. Rogowitz, The Univ. of Texas at Austin (United States)
Naim Matasci, Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 7865:
Human Vision and Electronic Imaging XVI
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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