AI Center ::Jerome F Thomere

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Jerome F Thomere

Computer Scientist
Artificial Intelligence Center

SRI International
Room EJ229
333 Ravenswood Avenue
Menlo Park, CA 94025-3493
USA

Phone: (650) 859-6375
Fax: (650) 859-3735

Email:

Home Page: http://www.ai.sri.com/~thomere

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.
	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.
	High Performance Knowledge Bases The goal of the project is to enable rapid construction of knowledge bases by knowledge engineers.
	Reusable Tools for Knowledge Base and Ontology Development The Goal of this project is to develop knowledge base tools that can be used with multiple knowledge representation systems.
	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.

Software

LAW: Link Analysis Workbench
LAW is a system that helps intelligence professionals define and match patterns within large, incomplete, and noisy sets of relational data.

Publications

The following are in reverse chronological order of publication.

Showing most recent 5 out of 19 [View All]

John Lowrance and Ian Harrison and Andres Rodriguez and Eric Yeh and Tom Boyce and Janet Murdock and Jerome Thomere and Ken Murray. Template-Based Structured Argumentation. in Knowledge Cartography: Software Tools and Mapping Techniques, Springer, 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]
Wolverton, M. and Harrison, I. and Lowrance, J. and Rodriguez, A. and Thomere, J. Advanced Patterns and Matches in Link Analysis, in Intelligence and Security Informatics, Proceedings of ISI-2006, Springer-Verlag, 2006. [Details]

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