PRESENTATION OF CORPORATE KNOWLEDGE DURING THE TRANSITION TO HIGHLY AUTOMATED SYSTEMS

This article addresses the pressing issue of developing methods for transferring corporate knowledge
during the transition to highly automated technologies based on the use of effective knowledge
representation models. The paper examines the practical implementation of existing approaches to
model-based knowledge representation. As a result of the analysis, the author concludes that semantic
models are the most effective way to represent corporate knowledge when preparing for the transition
to highly automated technologies. Since the key process of semantic representation of corporate
knowledge is the creation of subject ontologies, the author proposes schemes for implementing such
processes, oriented towards different types of companies, and provides a description of the procedures
carried out at various stages of these processes. The materials of the work are applicable for the
development of practical methods for representing corporate knowledge, including when transitioning
to highly automated systems