The Expect Project at ISI


A Reflective Architecture for Knowledge Acquisition

Description

The research focus of EXPECT is the development of acquisition interfaces that help users to extend the knowledge of intelligent systems and their knowledge bases. Much of our work has been on planning tasks and applications, including process models. A recent area is grounding knowledge bases in the Semantic Web to enable problem solving in heterogeneous distributed environments, including projects such as DOCKER, TRELLIS, and Pegasus.

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Status

EXPECT is an environment for developing knowledge-based systems that includes knowledge acquisition tools to extend and modify knowledge bases.

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Research

Acquisition interfaces, semantic markup, ontologies and problem solving knowledge, knowledge interdependencies and analysis, dialogue planning, planning and process modeling, user evaluations, agent-based matchmaking.

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Publications

"User Studies of Knowledge Acquisition Tools: Methodology and Lessons Learned", Jihie Kim, Marcelo Tallis. In Journal of Experimental and Theoretical Artificial Intelligence (JETAI), Vol 13, pp 359-378, 2001

"An Integrated Environment for Knowledge Acquisition", Jim Blythe, Jihie Kim, Surya Ramachandran, Yolanda Gil. In Proceedings of the 2001 International Conference on Intelligent User Interfaces (IUI-2001), Santa Fe, New Mexico, January 2001. Recipient of the Best Paper Award

"Acquiring Procedural Knowledge in Expect", Yolanda Gil, Jim Blythe, Surya Ramachandran, Jihie Kim. In AAAI 2000 fall symposium on Learning How to Do Things

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Group Members:

DARPA Active Templates (AcT)
DARPA Control of Agent-Based Systems (CoABS)
DARPA High Performance Knowledge Bases (HPKB)