Methods and systems for computer based collaboration

Electrical computers and digital processing systems: multicomput – Computer conferencing

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C709S236000, C709S229000, C707S793000

Reexamination Certificate

active

07904512

ABSTRACT:
An exemplary method for computer based collaboration between a plurality of participants communicating over a data network comprises steps of receiving communications data with the computer, using a text analysis tool to identify at least a plurality of k-words from the communications data and a plurality of relations linking at least a portion of the plurality of k-words, and displaying the k-words and relations to the plurality of participants over the computer network.

REFERENCES:
patent: 5930762 (1999-07-01), Masch
patent: 5940816 (1999-08-01), Fuhrer et al.
patent: 5963902 (1999-10-01), Wang
patent: 6490572 (2002-12-01), Akkiraju et al.
patent: 6615205 (2003-09-01), Cereghini et al.
patent: 6768973 (2004-07-01), Patel
patent: 7146381 (2006-12-01), Allen et al.
patent: 2003/0115192 (2003-06-01), Kil et al.
patent: 2003/0182439 (2003-09-01), Geshwind
patent: 2005/0005232 (2005-01-01), Gosby
Goldberg. D.E., Sastry K., and Ohsawa Y., “Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chace Discovery via KeyGraph..” (2003) pp. 1-23.
Oshawa, Y. “KeyGraph: Automatic indexing by co-occurrence graph basd on building construction metaphor.” (1998) pp. 12-18.
Goldberg, D. E., “Genetic Algorithms in Search, Optimization & Machine Learning,” Addison Wesley Longman, Inc., 1989.
Goldberg, D. E., “The Design of Innovation: Lessons from and for Competent Genetic Algorithms,” Kluwer Academic Publishers, 2002.
Goldberg, D. E., (1993a). “Making genetic algorithms fly: A lesson from the Wright brothers.”Advanced Technology for Developers, 2, 1-8.
Ohsawa, Y., Benson, N. E., & Yachida, M., (1998) “KeyGraph: Automatic indexing by co-occurrence graph based on building construction metaphor.” InProceedings of Advances in Digital Libraries, pp. 12-18.
Takama, Y., & Hirota, K. (2000). “Discovery of topic distribution through WWW information retrieval process.”Proceedings of 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation, 1644-1647.
Bingham, E., Kaban, A., & Girolami, M., (2003). “Topic identification in dynamical text by complexity pursuit.”Neural Processing Letters, 17(1), 69-83.
Graetz, K., Barlow, C., Proulx, N., & Pape, L. (1997). “Facilitating idea generation in computer-based teleconferences,”Proceedings of the International ACM SIGGROUP Conference on Supporting Group Work(GROUP '97), 317-324.
Santanem, E., Briggs, R., & de Vreede, G. J., (2000). “The Cognitive Network Model of Creativity: a New Casual Model for Creativity and a New Brainstorming Technique,”Proceedings of the 33rdAnnual Hawaii International Conference on System Sciences, 2004.
Santanem, E., Briggs, R., & de Vreede, G.-J., (2002). “Toward an Understanding of Creative Solution Generation,”Proceedings of the 35thAnnual Hawaii International Conference on System Sciences, 2899-2908.
Goldberg, D.E., Sastry K., and Ohsawa Y., “Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs,” (2003) pp. 1-23.
Goldberg, D. E., (1993b). “A Wright-brothers theory of genetic algorithms flight.”Systems, Control, and Information, 37(8), 450-458.
Kosorukoff, A., & Goldberg, D. E. (2002). “Evolutionary computation as a form of organization.”Proceedings of the Genetic and Evolutionary Computation Conference(GECCO 2002), 965-972.
Takagi, H. (2001). “Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evaluation.”Proceedings of the IEEE, 89(9), 1275-1296.
Welge, M. E., Auvil, L., Shirk, A., Bushell, C., Bajcsy, P., Cai, D., Redman, T., Clutter, D., Aydt, R., & Tcheng, D., (2003).Data to Knowledge(D2K) (Automated Learning Group Technical Report). Urbana, IL: National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign.
Altus, S., Kroo. I., & Gage, P., AGenetic Algorithm for Scheduling and Decomposition of Multidisciplinary Design Problems, ASME Journal of Mechanical Design, vol. 118, Dec. 1996.
Harik, G.,Linkage learning via probabilistic modeling in the ECGA. IlliGAL TR-99010, University of Illinois at Urbana-Champaign. Urbana, IL, 1999.
Lutz, R.,Recovering High-Level Structure of Software Systems Using a Minimum Description Length Principle, R.F.E. Proceedings of the 13thIrish International Conference, Artificial Intelligence and Cognitive Science (AICS 2002), Sep. 2002.
Munemoto, M., & Goldberg, D.E.,Liknage Identification by Non-monotonocity Detection for Overlapping Functions. IlliGAL Report No. 99005, Genetic and Evolutionary Computation Conference (GECCO-99), vol. 1, 1999.
Pelikan, M., Goldberg, D.E., & Cantú-Paz, E.,BOA: The Bayesian optimization algorithm. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99), vol. 1, pp. 525-532. Also IlliGAL TR-99003, University of Illinois at Urbana-Champaign, 1999.
Rogers. J. L.,DeMAID/GA User's Guide-Design Manager's Aid for Intelligent Decomposition With a Genetic Algorithm, NASA TM-110241, Apr. 1996.
Salman. A., Mehrota, K., & Mohan, C.,Linkage Crossover for Genetic Algorithms, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99), vol. 1, pp. 564-571, 1999.
Smith, J.On Appropriate Adaptation Levels for the Learning of Gene Linkage. Journal of Genetic Programming and Evolvable Machines, vol. 3, No. 2, pp. 129-155, 2002.
Goldberg, D.E., Deb, K., Kargupta, H., Harik, G.:Rapid, accurate optimization of difficult problems using fast messy genetic algorithms. Proceedings of the Fifth International Conference on Genetic Algorithms pp. 56-64 (1993).
Ohsawa, Y. (2002). Chance discoveries for making decisions in complex real world.New Generation Computing, 20(2), 143-163.
Ohsawa, Y., & Nara, Y. (2002). Understanding Internet users on double helical model of chance-discovery process. InProceedings of the 2002 IEEE International Symposium on Intelligent Control. pp. 844-849.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Methods and systems for computer based collaboration does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Methods and systems for computer based collaboration, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods and systems for computer based collaboration will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2752957

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.