Past Projects

	A Knowledge Entry System for Subject Matter Experts The goal of SHAKEN project is to enable subject matter experts , without any assistance from AI technologists, to assemble the models of processes and mechanisms so that questions about them can be answered by declarative inference and simulation.
	A System for Representing Textbook Knowledge The goal of the project is to demonstrate the current state-of-the-art in knowledge representation by attempting to answer the questions in an advance placement test in chemistry.
	HARP: Human Augmented Reasoning through Patterning This 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.
	The Link Analysis Workbench The goal of this project is to develop the Link Analysis Workbench (LAW), a Web-accessible tool where analysts and machines collaboratively perform link analysis by defining hierarchical and temporal patterns, that include uncertain and qualitative elements, and by defining search strategies for pattern application, through a graphical user interface that supports direct graphical browsing and editing of patterns, search strategies, and summaries and details of resulting matches.

Publications

The following are in reverse chronological order of publication.
Showing most recent 5 out of 9 [View All]

• Lowrance, J., Harrison, I., Rodriguez, A., Yeh, E., Boyce, T., Murdock, J., Thomere, J., and Murray, K. Template-Based Structured Argumentationin Knowledge Cartography: Software Tools and Mapping Techniques, Springer, October 2008.  [Details]

• Murray, K. and Lowrance, J. and Appelt, D., and Rodriguez, A. Fostering Collaboration with a Semantic Index over Textual Contributions, in AI Technologies for Homeland Security, Papers from the 2005 AAAI Spring Symposium, AAAI Press, no. SS-05-01, pp. 99-106, March 2005.  [PDF, Details]

• Murray, K. and Lowrance, J. and Appelt, D. and Rodriguez, A. Estimating Similarity among Collaboration Contributions, in Third International Conference on Knowledge Capture, 2005.  [PDF, Details]

• Murray, K. and Harrison, I. and Lowrance, J. and Rodriguez, A. and Thomere, J. and Wolverton, M. PHERL: an Emerging Representation Language for Patterns, Hypotheses, and Evidence, in Proceedings of the AAAI Workshop on Link Analysis, 2005.  [PDF, Details]

• Chaudhri, V and Murray, K and Pacheco, J and Clark, P and Porter, B and Hayes, P. Graph-based Acquisition of Expressive Knowledge. EKAW , 2004.  [PDF, Details]