GS-Map is a concept-based categorization and visualization tool developed by the AI Group in the MIS Department at the University of Arizona. Funded mainly by an NSF/CISE "Intelligent Internet Categorization and Search" project (1995-1998) and the NSF/ARPA/NASA Illinois Digital Library Initiative project (1994-1998), the AI Group is responsible for the semantic retrieval and user customization research components of the Illinois Digital Library Project.
GS-Map analyzes raw (GroupSystems, GS) electronic meeting comments and identifies key concepts in each comment. It then uses a Kohonen algorithm to categorize the comments around related topics. The Kohonen output is visually represented as a map with each node being represented by a block in a 10 x 20 matrix. Below there are two different sample electronic meeting sessions that you can explore. Both sessions contain comments from actual electronic brainstorming sessions. Each session was analyzed in less than 5 minutes. Instructions for using GS-Map are available.
Sample electronic brainstorming sessions:
- Future of Groupware
In addition to the original 2D view, we have also expanded our visualization techniques to Java Linear 1D and VRML 3D (requirement), along with disecting the data set:
Linear
1DClassical
2DVRML
3D1/3 Set (First) 
1/3 Set (Second) 1/3 Set (Third) 2/3 Set Full Set
- Future of Business Education