
SRI International
333 Ravenswood Avenue
Menlo Park CA 94025-3493
Phone: (650) 859-6375
Fax: (650) 859-3735
Email:
Home Page: http://www.ai.sri.com/~thomere
Alumnus of the Artificial Intelligence Center
A Knowledge Entry System for Subject Matter ExpertsThe 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. |
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Cognitive Assistant that Learns and OrganizesAs part of DARPAs Personalized Assistant that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO). |
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HARP: Human Augmented Reasoning through PatterningThis project developed: 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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High Performance Knowledge BasesThe goal of the project is to enable rapid construction of knowledge bases by knowledge engineers. |
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Reusable Tools for Knowledge Base and Ontology DevelopmentThe Goal of this project is to develop knowledge base tools that can be used with multiple knowledge representation systems. |
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The Link Analysis WorkbenchThe 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. |
LAW: Link Analysis WorkbenchLAW is a system that helps intelligence professionals define and match patterns within large, incomplete, and noisy sets of relational data. |
The following are in reverse chronological order of publication.
Showing most recent 5 out of 20
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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]
Wolverton, M. and Martin, D. and Harrison, I. and Thomere, J. A Process Catalog for Workflow Generation, in The Semantic Web - 7th International Semantic Web Conference, Springer, vol. 5318/2008, pp. 833-846, 2008. [Details]
Thomere, J. and Wolverton, M. Presentation of Information for Link Analysis, in Capturing and Using Patterns for Evidence Detection - Papers from the AAAI Fall Symposium, AAAI Press, pp. 99-104, Oct 2006. [PDF, Details]
Burns, J. and Connolly, C. and Thomere, J. and Wolverton, M. Event Recognition in Airborne Motion Imagery, in Capturing and Using Patterns for Evidence Detection -- Papers from the AAAI Fall Symposium, AAAI Press, 2006. [Details]
Wolverton, M. and Harrison, I. and Martin, D. Issues in Algorithm Characterization for Link Analysis, in Capturing and Using Patterns for Evidence Detection - Papers from the AAAI Fall Symposium, 2006. [PDF, Details]
