Demo: Workgroup & Collaborative Computing
 

**Demo has been retired

 Introduction  

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.

Three different types of Kohonen-based maps are available for viewing the testbed classification: 1-D or linear, 2-D, and 2.5-D Virtual Reality Modeling Language (VRML). The VRML SOM requires a Cosmo Player plug. The collection has been divided into subsets based on time. Text labels and colors are used to demarcate regions in the SOM. Color has significance only in the 2-D SOM. Red categories represent the most recent, "hottest", topics, while blue categories represent older topics that are no longer actively discussed. On all the maps, clicking on the region of interest will display the associated documents.

 
 
  Research Goal
  Funding
  Acknowledgements
  Approach & Methodology
  Team Members
  Publications
  Demo
GS-Map

AI Lab | MIS Department | Eller College | UA | Disclaimer | Privacy | Contact Us

Eller College of Management | The University of Arizona
1130 E. Helen Street | P.O. Box 210108 | Tucson, AZ 85721-0108 | 520.621.6219

© Copyright The University of Arizona. All rights reserved.