This paper describes an approach to IV that involves spatializing text content for enhanced visual browsing and analysis. The application arena is large text document corpora such as digital libraries, regulations andprocedures, archived reports, etc. The basic idea is that text content from these sources may be transformed to a spatial representation that preserves informational characteristics from the documents. The spatial representation may then be visually browsed and analyzed in ways that avoid language processing and that reduce the analysts’ mental workload. The result is an interaction with text that more nearly resembles perception and action with the natural world than with the abstractions of written language.
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.