A visualization architecture for intelligence analysis
T. Alan Keahey, Stephen G. Eick · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
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.