|
Published Articles >> Table of Contents >> Abstract
Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 9
p. 293c
OmniSeer: A Cognitive Framework for User Modeling, Reuse of Prior and Tacit Knowledge, and Collaborative Knowledge Services
John Cheng, Global InfoTek
Ray Emami, Global InfoTek
Larry Kerschberg, KRM, Inc
Eugene Santos, Jr,., University of Connecticut
Qunhua Zhao, University of Connecticut
Hien Nguyen, University of Connecticut
Hua Wang, University of Connecticut
Michael Huhns, University of South Carolina
Marco Valtorta, University of South Carolina
Jiangbo Dang, University of South Carolina
Hrishikesh Goradia, University of South Carolina
Jingshan Huang, University of South Carolina
Sharon Xi, University of South Carolina
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.2005.462
Send link to a friend
| Abstract |
|
This paper describes the current state of the OmniSeer
system. OmniSeer supports intelligence analysts in the
handling of massive amounts of data, the construction of
scenarios, and the management of hypotheses. OmniSeer
models analysts with dynamic user models that capture an
analyst's context, interests, and preferences, thus
enabling more efficient and effective information
retrieval. OmniSeer explicitly represents the prior and
tacit knowledge of analysts, thus enabling transfer and
reuse of such knowledge. Both the user and cognitive
models employ a Bayesian network fragment
representation, which supports principled probabilistic
reasoning and analysis. An independent evaluation of
OmniSeer was carried out at NIST and will be used to guide further development.
|
 Additional Information
|
Citation:
John Cheng, Ray Emami, Larry Kerschberg, Eugene Santos, Jr,., Qunhua Zhao, Hien Nguyen, Hua Wang, Michael Huhns, Marco Valtorta, Jiangbo Dang, Hrishikesh Goradia, Jingshan Huang, Sharon Xi,
"OmniSeer: A Cognitive Framework for User Modeling, Reuse of Prior and Tacit Knowledge, and Collaborative Knowledge Services,"
hicss,
p. 293c,
Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 9,
2005
|
|
