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AAAI 1999

Deriving Expectations to Guide Knowledge Base Creation

Conference Paper Knowledge Representation Artificial Intelligence

Abstract

Successful approaches to developing knowledge acquisition tools useexpectationsof whatthe userhasto add ormay want to add, basedon how new knowledgefits within a knowledge base that already exists. When a knowledge base is first created or undergoes significant extensions and changes, these tools cannot provide much support. This paper presents an approach to creating expectations when a new knowledge base is built, and describes a knowledge acquisition tool that we implemented using this approach that supports users in creating problem-solving knowledge. As the knowledge base grows, the knowledge acquisition tool derives more frequent and more reliable expectations that result from enforcing constraints in the knowledge representation system, looking for missing pieces of knowledge in the knowledge base, and working out incrementally the inter-dependencies among the different components of the knowledgebase. Our preliminary evaluations show a thirty percent time savings during knowledge acquisition. Moreover, by providing tools to support the initial phases of knowledge base development, many mistakes are detected early on and even avoided altogether. We believe that our approach contributes to improving the quality of the knowledgeacquisition processand of the resulting knowledge-based systems as well.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
378727741505462916