Fishbone diagrams for the development of knowledge bases
Aleksandr Yu. Yurin, А. Ф. Берман, Nikita O. Dorodnykh, Olga Anatolievna Nikolaychuk, N. Yu. Pavlov · 2018
The paper describes an approach for the automated development of rule-based knowledge bases by transforming fishbone diagrams. The approach is based on the identification and extraction of structural cause-effect elements of fishbone diagrams and their transformation into the elements of a target knowledge representation language, in particular, C Language Integrated Production System (CLIPS). The source metamodel of fishbone diagrams, the target metamodel for a unified representation of rules (a model for representation logical rules), transformation operators and a transformation technique are presented. An illustrative example describes the development of a rule-based knowledge base for diagnosing and forecasting the states of complex technical systems based on the approach proposed.