A graphical, self-organizing approach to classifying electronic meeting output

Journal of the American Society for Information Science

Volumn 48, Issue 2, 1997, Pages 157-170

  Orwig, Richard E ^a   Chen, Hsinchun ^a   Nunamaker Jr , Jay F ^b  

^a UNIVERSITY OF ARIZONA   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ASSOCIATIVE PROCESSING; COGNITIVE SYSTEMS; INFORMATION SCIENCE; NEURAL NETWORKS; PROBLEM SOLVING;

ELECTRONIC BRAINSTORMING; HOPFIELD NEURAL NETWORK ALGORITHM; KOHONEN SELF ORGANIZING MAP (SOM);

CLASSIFICATION (OF INFORMATION);

EID: 0031076764     PISSN: 00028231     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-4571(199702)48:2<157::AID-ASI6>3.0.CO;2-X     Document Type: Article

References (39)

1. Belew, R. K. (1989). Adaptive information retrieval. Paper presented at the Twelfth Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Cambridge, MA.
2. Burton, R. R. (1976). Semantic grammar: A technique for efficient language understanding in limited domains. Unpublished doctoral dissertation, Computer Science Department, University of California at Irvine.
3. Caudill, M. (1993). A little knowledge is a dangerous thing. AI Expert, 8(6), 16-22.
4. Chen, H. (1994). Collaborative systems: Solving the vocabulary problem. IEEE Computer, 27(5), 58-66.
5. Chen, H. (1995). Machine learning for information retrieval: Neural networks, symbolic learning, and genetic algorithms. Journal of the American Society for Information Science, 46, 194-216.
6. Chen, H., Hsu, P., Orwig, R., Hoopes, L., & Nunamaker, J. F., Jr. (1994). Automatic concept classification of text from electronic meetings. Communications of the ACM, 37(10), 56-73.
7. Chen, H., & Lynch, K. J. (1992). Automatic construction of networks of concepts characterizing document databases. IEEE Transactions on Systems, Man and Cybernetics, 22(5), 885-902.
8. Chen, H., & Ng, D. T. (1995). An algorithmic approach to concept exploration in a large knowledge network (automatic thesaurus consultation): Symbolic branch-and-bound vs. connectionist Hopfield net activation. Journal of the American Society for Information Science, 46, 348-369.
9. Chen, H., Schatz, B. R., Yim, T., & Fye, D. (1995). Automatic thesaurus generation for an electronic community system. Journal of the American Society for Information Science, 46, 175-193.
10. Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.
11. Dalton, J., & Deshmane, A. (1991). Artificial neural networks: An approach to increasing machine intelligence. IEEE Potentials, 4(33), 33-36.
12. Doszkocs, T. E., Reggia, J., & Lin, X. (1990). Connectionist models and information retrieval. Annual Review of Information Science and Technology (ARIST), 25, 209-260.
13. Ellis, C. A., Gibbs, S. J., & Rein, G. L. (1991). Groupware: some issues and experiences. Communications of the ACM, 34(1), 38-58.
14. Fillmore, C. J. (1968). The case for case. In E. Bach & R. T. Harms (Eds.), Universals in linguistic theory. New York: Holt, Rinehart, and Winston.
15. Furnas, G. W., Landauer, T. K., Gomez, L. M., & Dumais, S. T. (1983). Statistical semantics: Analysis of the potential performance of keyword information systems. Bell System Technical Journal, 62(6), 1753-1806.
16. Fumas, G. W., Landauer, T. K., Gomez, L. M., & Dumais, S. T. (1987). The vocabulary problem in human-system communication. Communications of the ACM, 30(11), 964-971.
17. George, J. F., Easton, G. K., Nunamaker, J. F., Jr., & Northcraft, G. B. (1990). A study of collaborative group work with and without computer-based support. Information Systems Research, 1(4), 394-415.
18. Hiotis, A. (1993). Inside a self-organizing map. AI Expert, 8(4), 38-43.
19. Hopfield, J. J. (1982). Neural network and physical systems with collective computational abilities. Proceedings of the National Academy of Science, 79(4), 2554-2558.
20. Kohonen, T. (1989). Self-organization and associative memory. Berlin: Springer-Verlag.
21. Kohonen, T. (1995). Self-organization maps. Berlin, Heidelberg: Springer-Verlag.
22. Kwok, K. L. (1989). A neural network for probabilistic information retrieval. Paper presented at the Twelfth Annual International ACM/ SIGIR Conference on Research and Development in Information Retrieval, Cambridge, MA.
23. Lin, X., Soergei, D., & Marchionini, G. (1991). A self-organizing semantic map for information retrieval, Paper presented at the Proceedings of the Fourteenth Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Chicago, IL.
24. Lippmann, R. P. (1987). An introduction to computing with neural nets. IEEE ASSP Magazine, 4, 4-22.
25. MacLeod, K. J., & Robertson, W. (1991). A neural algorithm for document clustering. Information Processing & Management, 27(4), 337-346.
26. McCulloch, W. S., & Pitts, W. (1943). A logical calculus of the ideas imminent in neural nets. Bulletin of Mathematical Biophysics, 5, 115-137.
27. Miikkulainen, R. (1993). Subsymbolic natural language processing: An integrated model of scripts, lexicon, and memory. Cambridge, MA: The MIT Press.
28. Nunamaker, J. F., Jr., Dennis, A. R., Valacich, J. S., & Vogel, D. R. (1991). Information technology for negotiating groups: Generating options for mutual gain. Management Science, 37(10), 1325-1346.
29. Nunamaker, J. F., Jr., Dennis, A. R., Valacich, J. S., Vogel, D. R., & George, J. F. (1991). Electronic meeting systems to support group work. Communications of the ACM, 34(7), 40-61.
30. Orwig, R. E. (1995). A graphical, self-organizing approach to classifying electronic meeting output. Unpublished doctoral dissertation, University of Arizona, Tucson, AZ.
31. Post, B. (1992). Building the business case for group support technology. Paper presented at the 25th Hawaii International Conference on System Sciences, Maui, Hawaii.
32. Rasmussen, E. (1992). Clustering algorithms. Englewood Cliffs, NJ: Prentice Hall.
33. Ritter, H., & Kohonen, T. (1989). Self-organizing semantic maps. Biological Cybernetics, 61, 241-254.
34. Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning internal representations by error propagation. Cambridge, MA: The MIT Press.
35. Ryan, B. F., Joiner, B. L., & Ryan, T. A. (1985). MINITAB Handbook, 2nd ed. Boston: PWS-KENT Publishing Company.
36. Salton, G. (1989). Automatic text processing. Reading, MA: Addison-Wesley Publishing Company, Inc.
37. Stepp, R. E. (1987). Concepts in conceptual clustering. Paper presented at the Proceedings of the Tenth International Joint Conference on Artificial Intelligence, Milan, Italy.
38. Vogel, D. R., Nunamaker, J. F. J., Martz, W. B. J., Grohowski, R., & McGoff, C. (1989). Electronic meeting system experience at IBM. Journal of Management Information Systems, 6(3), 25-43.
39. Woods, W. A. (1972). An experimental parsing system for transition network grammars. In R. Rustin (Ed.), Natural language processing. New York: Algorithmics Press.