Knowledge acquisition through anticipation of modifications
Knowledge bases for expert systems are typically constructed and refined using information obtained through a series of dialogs between an expert in the application domain and a knowledge engineer. The assimilation of this information into an existing knowledge base is an important aspect of the knowledge engineer's task. This assimilation process requires an understanding of how the new information corresponds to that already contained in the knowledge base and how the existing information must be modified so as to reflect the expert's view of the domain. This work describes a new approach to knowledge acquisition and presents a system that implements this approach. This system modifies an existing knowledge base using information obtained during a discourse with a domain expert. Heuristic knowledge about the knowledge-acquisition process enables the system to anticipate modifications to existing entity descriptions. These anticipated modifications, or expectations, are used to provide a context in which to assimilate the new domain information.
- Research Organization:
- Massachusetts Univ., Amherst (USA)
- OSTI ID:
- 6354844
- Country of Publication:
- United States
- Language:
- English
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