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Dr Vinay K Chaudhri

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

Biography and Interests

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 entrepreneurship, and transitioning research ideas into commercial products. I have worked with a wide range of knowledge representation and reasoning systems including LOOM, Ontolingua, Cyc, KM, and F-Logic. I was part of the team that developed the Open Knowledge Base Connectivity protocol for accessing knowledge bases. I contributed to storage, and multi-user software that underlies SRI’s EcoCyc project. Since 2000, I have been working on a system to capture knowledge from science textbooks, and to answer questions at the back of the book.

Current Projects

AURA

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.

Past Projects

SHAKEN

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.

Halo Pilot

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.

CALO

Cognitive Assistant that Learns and Organizes

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

HPKB

High Performance Knowledge Bases

The goal of the project is to enable rapid construction of knowledge bases by knowledge engineers.

KB and Ontology Development

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

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 69 [View All]

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