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Dr Vinay K Chaudhri

Program Director
Artificial Intelligence Center

SRI International
Room EJ211
333 Ravenswood Avenue
Menlo Park, CA 94025-3493
USA

Phone: (650) 859-3368
Fax: (650) 859-3735

Email:

Research interests

Dr. Vinay K. Chaudhri is the Program Director for Knowledge Management and Engineering in the Artificial Intelligence Center at SRI. My research focuses on the science and engineering of large knowledge base systems and spans knowledge representation and reasoning, deductive question answering, knowledge acquisition, and innovative applications. I am also interested in entreprenurship, and transitioning research ideas into commercial products. My two current main projects are to build a system to acquire knowledge from science text books to answer advance placement questions, and to construct a knowledge base and question answering service for a cognitive agent designed to operate in an office.

Current Projects

Automated User-Centered Reasoning and Acquisition System
The goal of this project is to build a generic knowledge acquisition capability for Physics, Chemistry, and Biology. Using the system, the scientists will be able to formulate their knowledge in the three science domains, and the high school students will be able to pose Advanced-Placement style questions and get user appropriate explanations.

Cognitive Assistant that Learns and Organizes
As part of DARPA�s Perceptive Agent that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).

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.
	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.

Software

AURA: Automated User-Centered Reasoning and Acquisition System
The AURA system enables graduate students in Physics, Chemistry, and Biology to author knowledge from a science textbook, and support high school students to formulate questions against that knowledge to obtain answers.

Publications

The following are in reverse chronological order of publication.

Showing most recent 5 out of 47 [View All]

Vinay K. Chaudhri, Mark Greaves, Daniel Hansch, Anthony Jameson, Frederik Pfisterer. Using a Semantic Wiki as a Knowledge Source for Question Answering. AAAI Spring Symposium, 2008. [PDF, Details]
Chaudhri, V., John, B.E., Mishra, S., Pacheco, J., Porter, B., Spaulding, A. Enabling Experts to Build Knowledge Bases from Science Textbooks, in to appear in Proceedings of The Fourth International Conference on Knowledge Capture (K-CAP), October 2007. [PDF, Details]
Spaulding, A. and Chaudhri, V. K. and John, B. E. and Prevas, G. and Mishra, S. and Pacheco, J. Using Equations in Concept Maps to Graphically Build Knowledge Bases. 2007. [PDF, Details]
Jose-Luis Ambite, Vinay K. Chaudhri, Richard Fikes, Jessica Jenkins, Sunil Mishra, Maria Muslea, Tomas Uribe, Guizhen Yang. Design and Implementation of the CALO Query Manager, in Innovative Applications of Artificial Intelligence, July 2006. [PDF, Details]
Yang, Guizhen and Kifer, Michael and Chaudhri, Vinay K. Efficiently Ordering Subgoals with Access Constraints, in ACM International Symposium on Principles of Database Systems (PODS), June 2006. [PDF, Details]

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