By Topic

Automatic Application of the Data-State Model in Data-Flow Contexts

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Joseph A. Cottam ; Open Syst. Lab., Indiana Univ., Bloomington, IN, USA ; Andrew Lumsdaine

The data-state and data-flow models of information visualization are known to be expressively equivalent. Each model is most effective for different combinations of analysis processes and data characteristics. Visualization frameworks tend to either (1) work within a single model or (2) permit either model in separate sub-frameworks. In either case, converting between the two models falls entirely to the programmer. The theoretical basis for automatic translation between the two models was established by Chi. However, that process is insufficiently specified to be directly implemented. This paper characterizes the practical advantages of the data-state model. This is used to identify when such a transformation is beneficial. It then expands on Chi's theoretical framework to provide the tools for translating visualization program fragments from the data-flow to the data-state model. A partial implementation of the expanded theory is described for the Stencil visualization environment.

Published in:

2010 14th International Conference Information Visualisation

Date of Conference:

26-29 July 2010