11 May 1987 RESKB: A Relational Solution To An Expert System's Knowledge Base
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Despite the obvious equivalence between many of the problems and concepts of the knowledge bases in intelligent systems and standard databases, important differences exist which make a unified treatment difficult. This paper presents a combination of expert-system concepts with database management techniques that creates a more responsive and flexible rule-based system. The complete design, known as RESKB (Relational Expert System Knowledge Base) provides a widely applicable model for the actual construction and management of a rule base. The presentation of RESKB uses database design tools to organize the knowledge base and extends to the handling of "procedural inclusions" and their control. The whole development focuses on maintaining system transparency, simplicity, and expandability. Two possible methods of implementing the RESKB model are also presented.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank D. Anger, Frank D. Anger, Rita V. Rodriguez, Rita V. Rodriguez, Douglas D. Dankel, Douglas D. Dankel, } "RESKB: A Relational Solution To An Expert System's Knowledge Base", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940608; https://doi.org/10.1117/12.940608


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