[mod.ai] Seminar - Knowledge Engineering and Ontological Structure

HOLLANDER@SUMEX-AIM.ARPA (Lynne Hollander) (10/07/86)

                                SIGLUNCH

	Title:	 KNOWLEDGE ENGINEERING AS THE INVESTIGATION OF
		 ONTOLOGICAL STRUCTURE
 
	Speaker: Michael J. Freiling
 		 Computer Research Laboratory
		 Tektronix Laboratories

	Place:	 Chemistry Gazebo

	Time:	  12:05-1:15, Friday, October 10


Experience has shown that much of the difficulty of learning to build
knowledge-based systems lies in designing representation structures that
adequately capture the necessary forms of knowledge.  Ontological analysis
is a method we have found quite useful at Tektronix for analyzing and
designing knowledge-based systems.  The basic approach of ontological
analysis is a step-by-step construction of knowledge structures beginning
with simple objects and relationships in the task domain, and continuing
through representations of state, state transformations, and heuristics
for selecting transformations.  Formal tools that can be usefully employed
in ontological analysis include domain equations, semantic grammars, and
full-scale specification languages.  The principles and tools of
ontological analysis are illustrated with actual examples from
knowledge-based systems we have built or analyzed with this method.
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