Graph-Grammar Assistance for Knowledge Acquisition

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KSL-92-37 +  redirect page

Graph-Grammar Assistance for Knowledge Acquisition +  Has identifier

Graph-Grammar Assistance for Knowledge Acquisition +  Ksl tr id

Graph-Grammar Assistance for Knowledge Acquisition +  Number

Graph-Grammar Assistance for Knowledge Acquisition

Bibtype  techreport

Has publishing details  April,1992

Has title  Graph-Grammar Assistance for Knowledge Acquisition

Has where published  KSL-92-37

Has year  1992

Title  Graph-Grammar Assistance for Knowledge Acquisition

Year  1992

Abstract  One of the most difficult aspects of model One of the most difficult aspects of modeling complex medical dilemmas in decision-analytic terms is composing a diagram of relevance relations from a set of domain concepts. The concepts, as presented to the knowledge engineer, generally have no inherent order, yet they have characteristic positions and typical roles in a semantic network model. We have been using a graph-grammar production system to express such inherent interrelationships among medical terms. We have found that this graph-grammar system facilitates the modeling of medical dilemmas. We also suggest a translate-and-assemble perspective for certain knowledge-acquisition problems. We suspect that graph grammars,and the translate-and-assemble perspective, may be useful guides to modeling in many other circumscribed domains. eling in many other circumscribed domains.

Address  Stanford, CA, USA +

Author  John W. Egar +

Has author  John W. Egar +

Has identifier  Graph-Grammar Assistance for Knowledge Acquisition +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  Graph-Grammar Assistance for Knowledge Acquisition +

Month  April +

Number  Graph-Grammar Assistance for Knowledge Acquisition +

Process note  NO +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

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