Fostering Collaboration with a Semantic Index over Textual Contributions
by Murray, K. and Lowrance, J. and Appelt, D., and Rodriguez, A.
in AI Technologies for Homeland Security, Papers from the 2005 AAAI Spring Symposium, no. SS-05-01, pp. 99-106,
Published by AAAI PressCollaboration is at the heart of many activities required for effective homeland security, from intelligence analysis to policy formation. We are exploring new approaches to facilitating effective collaboration that remove or reduce common barriers and that exploit opportunities to encourage more effective collaboration, including transcending the cognitive biases of the participants. In order to evaluate our approaches we are developing Angler, a web-services tool that supports collaboration among participants on some focus topic. Several challenges arise in helping participants manage their contributions. A semantic index over the participant contributions is used to address these challenges.
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HARP: Human Augmented Reasoning through PatterningThis project will develop and deploy: 1) cognitive aids that allow humans and machines to "think together" in real-time about complicated problems; 2) techniques to overcome the biases and limitations of the human cognitive system; 3) "cognitive amplifiers" that help teams of people rapidly and fully comprehend complicated and uncertain situations; and, 4) the means to rapidly and seamlessly cut across and complement existing hierarchical organizational structures. |
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Appelt, Doug E | Senior Computer Scientist | |
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Lowrance, John D | Program Director | |
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Murray, Kenneth S | Senior Computer Scientist | |
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Rodriguez, Andres C | Computer Scientist |
