4 June 2004 A visualization architecture for intelligence analysis
Author Affiliations +
This paper describes the design and construction of a new visualization system for collections of heterogeneous information for intelligence analysis. The system has several novel features that taken together provide a highly modular and reusable framework for creating linked visual metaphors. The system leverages modern web technologies such as XML DOM and Schemas to create an expressive and powerful system. Examples of this are the ability to use the structure of the information being visualized (as expressed in an XML schema) to directly generate the object oriented code for manipulating that information, and the use of static and dynamic binding facilities for creating mappings between internal information items and visualization components. The resulting system blurs the distinction between information visualization and the World Wide Web. It is very modular and flexible, and supports rapid iteration and refinement of input data sources as well as interoperability with other information schemas. New linked visual metaphors can easily be added to the framework as required.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
T. Alan Keahey, Stephen G. Eick, "A visualization architecture for intelligence analysis", Proc. SPIE 5295, Visualization and Data Analysis 2004, (4 June 2004); doi: 10.1117/12.539241; https://doi.org/10.1117/12.539241


Text-based search of TV news stories
Proceedings of SPIE (November 01 1996)
Rule-based database visualization
Proceedings of SPIE (May 03 2001)
Multiple view and multiform visualization
Proceedings of SPIE (February 28 2000)

Back to Top