Nikita O. Dorodnykh, Alexander Yu. Yurin

Matrosov institute for system dynamics and control theory SB RAS

Abstract. Building knowledge bases in the form of rules, ontologies, or knowledge graphs continues to be a rather time-consuming task in the development of various domain-specific intelligent systems. This article discusses an approach and software for automating the creation of knowledge bases using the analysis and transformation of conceptual models in the form of state transition diagrams. The approach is based on the identification of structural elements of diagrams and their mapping into constructions of the target knowledge representation language. The main stages of the approach are described, as are the analyzed constructions of the considered format of state transition diagrams, as well as the implementation of the approach in the form of web-oriented software, namely, Knowledge Modeling System (KMS). An illustrative example of converting state transition diagrams to form a failure analysis plan is presented.

knowledge engineering, knowledge acquisition, knowledge base, ontology, state transition diagram, model transformation, code generation, rules