Knowledge Systems Research Group

Shaw Yi Chaw   Peter Yeh   Dan Tecuci   James Fan

     Ken Barker        Bruce Porter

Research Results: Component Library for building Knowledge Systems KM knowledge representation and reasoning (KR&R) system Research papers Research presentations

Computers are profoundly ignorant. Even modern ones know as little about the world as the ENIAC. Our goal is to develop methods to build knowledgeable computers - capable of conversing intelligently on many topics. This development would herald a real computer revolution.

The intellectual basis for our work is Artificial Intelligence. We study:

• Knowledge representation and reasoning to encode knowledge in a language that computers can reason with
• Knowledge acquisition to capture knowledge from people and texts to encode in a knowledge base
• Explanation generation to convey in English the knowledge and reasoning used by a system to answer a hard question

Umbrella Projects

• Project Halo: develop and evaluate technologies for building a Digital Aristotle
• Rapid Knowledge Formation: develop ways for domain experts to build knowledge bases efficiently, without relying on knowledge engineers
• Botany Knowledge Base: build a "knowledge laboratory" to support research on representation, automated reasoning, and explanation generation

Researchers

Related Projects