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Rule-Based Visualization in a Computational Steering Collaboratory

  • Lian Jiang
  • Hua Liu
  • Manish Parashar
  • Deborah Silver
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3038)

Abstract

In this paper, we introduce the concept of rule-based visualization for a computational steering collaboratory and show how these rules can be used to steer the behaviors of visualization subsystems. Feature-based visualization allows users to extract regions of interests, and then visualize, track and quantify the evolution of these features. Rules define high level user policies and are used to automatically select and tune the appropriate visualization technique based on application requirements and available computing/network resources. Such an automated management of the visualization subsystem can significantly improve the effectiveness of computational steering collaboratories in wide area Grid environments.

Keywords

Color Scheme Rule Engine Thin Client Rule Agent Rule Execution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Lian Jiang
    • 1
  • Hua Liu
    • 1
  • Manish Parashar
    • 1
  • Deborah Silver
    • 1
  1. 1.Dept of Electrical and Computer EngineeringRutgers UniversityPiscatawayUSA

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