Title :
A pictorial method of knowledge representation
Author :
Schwartz, Edward N.
Author_Institution :
Dept. of Math. & Comput. Sci.. Manhattanville, Coll., Purchase, NY, USA
Abstract :
The author describes a pictorial method of knowledge representation that he calls a k-tree (knowledge tree) and a method of structuring a rule base using what he calls question lattices. Each branch of a k-tree corresponds to a rule. The lead represents the consequent and the parent nodes represent the antecedents. The taxonomy of the software will be easy to construct once the k-trees have been written
Keywords :
knowledge engineering; trees (mathematics); k-tree; knowledge representation; knowledge tree; pictorial method; question lattices; rule base; Abstracts; Computer science; Educational institutions; Expert systems; Feedback loop; Knowledge representation; Lattices; Mathematics; Shape; Taxonomy;
Conference_Titel :
Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-0837-4
DOI :
10.1109/CAIA.1988.196149
