Volume 14, Number 5

Presentation of Corporate Knowledge During the Transition to Highly Automated Systems

  Authors

Ekaterina Mashina, Germany

  Abstract

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.

  Keywords

Knowledge Transfer, Knowledge Representation, Semantic Knowledge Model, Domain Ontologies, Patterns