Information Analysis & Visualization

Information Analysis & Visualization

Research Goal

A graphical interface that summarizes the discussion content and participants behavior from an archive of a computer mediated communication (CMC) process.


Funding for this research was received from the following agencies:

  • NSF/CISE/ITO. #ITS-9800696. "An Intelligent CSCW Workbench: Personalized Analysis and Visualization." 8/01/98-7/31/01. $274,163.
  • University of Southern California/sub-DARPA."GeoWorlds, Task 5.1 under DASHER Task 5." 6/1/98-5/30/99. $194,000.
  • University of Illinois/sub-DARPA. #N6001-97-C-8535. "The Interspace Prototype: An Analysis Environment based on Scalable Semantics." 7/1/97-6/30/00. $1,078,991


We would like to acknowledge the contributions made to this research by our collaborators:

  • Dr. Bruce Schatz and his group at CANISUniversity of Illinois at Urbana-Champaign and

  • Dr. Robert Naches and the Information Sciences Institute at the University of Southern California.

Approach and Methodology


  • CSQuest is a collection of 280,000 computer engineering terms and 10M links.


  • Arizona Noun Phraser: indexing based on the identification of noun phrases in text. 

  • Automatic Indexing: stop wording and algorithmic index phrase formation 

  • Concept Space: index phrase co-occurrence information is used to generate an automatic thesaurus for search term suggestion. 

  • Concept Space Generation: Batch, Incremental, Real-time 

  • Kohonen Self-Organization Map (SOM) Algorithms: 1-D, 2-D, 3-D (VRML) displays for information categorization and visualization. 

  • Multi-dimensional Scaling: an alternative method to the Kohonen SOM providing information categorization and visualization in 1-D, 2-D, 3-D (VRML) displays. 

  • Ward's Hierarchical Clustering: another method of categorizing information. 

  • Visualization-magnification with Fisheye view or Fractal view.

Team Members

   Dr. Hsinchun Chen


   Dr. Bruce Schatz


   Bin Zhu


   Kristin Tolle


   Rosie Hauck


   Chienting Lin


   Michael Chau


   Thian-Huat Og



  1. H. Chen. "Expert Prediction, Symbolic Learning, and Neural Networks: An Experiment on Greyhound Racing."  IEEE EXPERT, Volume 9, Number 6, Pages 21-27, December 1994.

  2. D. Roussinov and H. Chen. "A Scalable Self-Organizing Map Algorithm for Textual Classification: A Neural Network Approach to Automatic Thesaurus Generation." Communication and Cognition in Artificial Intelligence Journal (CC-AI), Volume 15, Number 1-2, Pages 81-111, 1998.

  3.  H. Chen, Y. Chung, M. Ramsey, and C. Yang. "A Smart Itsy Bitsy Spider for the Web," Journal of the American Society for Information Science, Special Issue on "AI Techniques for Emerging Information Systems Applications," Volume 49, Number 7, Pages 604-618, 1998.

  4.  H. Chen, A. Houston, R. Sewell, and B. Schatz. "Internet Browsing and Searching: User Evaluations of Category Map and Concept Space Techniques," Journal of the American Society for Information Science, Special Issue on "AI Techniques for Emerging Information Systems Applications," Volume 49, Number 7, Pages 582-603, 1998

  5.  M. McQuaid, T. Ong, H. Chen, and J. F. Nunamaker, "Multidimensional Scaling for Group Memory Visualization," Decision Support Systems, Volume 27, Number 1-2, Pages 163-176, November 1999.

  6.  C. Lin, H. Chen and J.F. Nunamaker. "Verifying the Proximity Hypothesis for Self-organizing Maps," in the Proceedings of the 32nd Hawaii International Conference on System Sciences, Jan. 1999. 

  7. K. M. Tolle, H. Chen, and H. Chow. "Estimating drug/plasma concentration levels by applying neural networks to pharmacokinetic data sets," Decision Support Systems, Special Issue on Decision Support for Health Care in a New Information Age, Volume 30, Number 2, Pages 139-152, 2000.

  8. D. Roussinov and H. Chen. "Document Clustering for Electronic Meetings: An Experimental Comparison of Two Techniques", Decision Support Systems, Volume 27, Number 1-2, Pages 67-80, November 1999. 

  9. B. Zhu and H. Chen. "Validating a Geographic Image Retrieval System." Journal of the American Society for Information Science. Volume 51, Number 7, Pages 625-634, 2000. 

  10. C. Lin, H. Chen and J. F. Nunamaker. "Verifying the Proximity Hypothesis for Self-Organizing Maps," Journal of Management Information Systems,  Volume 16, Number 3, Pages 57-70, 2000. 

  11. G. Leroy, K. M. Tolle, and H. Chen. "Customizable and Ontology-Enhanced Medical Information Retrieval Interfaces," Methods of Information in Medicine, 2000. 

  12. N. C. Romano, C. Bauer, H. Chen and J. F. Nunamaker, "Quantifying Qualitative Data for Electronic Commerce Attitude Assessment and Visualization," Journal of Management Information Systems, 2000.