Foundations of a functional approach to knowledge representation.
Artificial Intelligence
What makes a knowledge base knowledgeable? A view of databases from the knowledge level
Proceedings from the first international workshop on Expert database systems
A Proof Procedure Using Connection Graphs
Journal of the ACM (JACM)
Problem-Solving Methods in Artificial Intelligence
Problem-Solving Methods in Artificial Intelligence
Theory links: Applications to automated theorem proving
Journal of Symbolic Computation
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KRYPTON is a knowledge representation system that embodies a functional approach and divides its knowledge into two types, corresponding to structured definitions for terminological information and assertions of contingent facts about some world. In the current implementation of KRYPTON, we have integrated a taxonomy containing frame-like definitions, similar to that of KL-ONE, with a non-clausal connection graph resolution theorem prover. Herein we shall focus on the interaction between these two pieces in forming an integrated KRYPTON system. This interaction is centered around the use of the definitions in the terminological hierarchy to form links in the connection graph and in how these links are to be activated. We have found that the functionality needed in a general-purpose theorem prover is not entirely malleable to the needs of a system whose domain-specific terms are assumed to form a terminological hierarchy.