Mixed-Initiative Knowledge Base Development
Abstract
This research has developed an end-to-end mixed-initiative approach to the development of knowledge bases by subject matter experts, with limited assistance from knowledge engineers. In this approach, the complex knowledge engineering activities, traditionally performed by a knowledge engineer and a subject matter expert, are replaced with equivalent ones performed by the subject matter expert and a learning agent, through mixed-initiative reasoning, with limited assistance from the knowledge engineer. In essence, the learning agent helps the subject matter expert to describe a specific problem, to make explicit how he or she solves it, to formalize this reasoning and to explain it to the agent. At the same time, the expert helps the agent to understand this reasoning process, to learn general problem solving tasks and rules from it, and to refine its ontology, thus developing its knowledge base to represent the expertise of the subject matter expert. These methods have been implemented in the Disciple-RKF learning agent that has being successfully used in several courses at the US Army War College, in the context of the center of gravity analysis problem. Experimental results demonstrate that the developed methods simplify the acquisition of knowledge and improve the knowledge base development process.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 31, 2003
- Accession Number
- ADA417711
Entities
People
- Gheorghe Tecuci
Organizations
- George Mason University