Goal-oriented application design guidance for flow visualization

Yuriko Takeshima, Issei Fujishiro

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Modular visualization environments (MVEs) are commonly used in many disciplines including fluid science. However, it is difficult for scientists and engineers, who are not necessarily visualization experts, to make full use of many built-in modules on the basis of their usability and interdependency for constructing optimal visualization workflows. In this paper, we present a novel MVE, called goal-oriented application design guidance for modular visualization environments/flow visualization (GADGET/FV), that is designed and built on an ontological framework to assist users to design their flow visualization workflows. The system relies primarily on an extended Wehrend Matrix that allows users to specify their goals and requirements, and to search the knowledge-base for appropriate visualization workflows on their behalf. In addition, users can browse successful examples maintained in a case repository to facilitate their workflow design further; this concept is referred to as "design by example." In this paper, examples of three practical fluid analyses have been presented to illustrate the usefulness of a prototype system. Furthermore, the extensibility of the system to handle large-scale datasets has also been discussed.

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2015 Visualization in High Performance Computing, SA 2015
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450339292
Publication statusPublished - 2015 Nov 2
EventSIGGRAPH Asia, SA 2015 - Kobe, Japan
Duration: 2015 Nov 22015 Nov 6

Publication series

NameSIGGRAPH Asia 2015 Visualization in High Performance Computing, SA 2015


OtherSIGGRAPH Asia, SA 2015


  • Flow visualization
  • MVE
  • Ontlogy
  • Visualization design
  • Visualization workflow

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction


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