The article considers the different approaches
towards modelling and implementation of knowledge management systems in the context of the enterprise’s digital
transformation. The methodology is based on the conceptualization of the domain using Semantic Web technologies,
i.e. OWL and SPARQL standards, and semantic reasoners.
The purpose of this paper is to present the results of
knowledge management (KM) system design. Semanticbased architecture of search engine is proposed as an
instrument for strict searching and corporate knowledge
exploration. The KM-system deployment is supposed to be
as a checkpoint of digital transformation of a company
which means that the company is eager to earn money from
data considered as an asset. As a whole the advantages of
ontology-based KM-system are: minimizing the mistakes
made by the employees; fast adaptation and involving the
employees recently hired by the company; improving the
speed and quality of analytics in company; preserving the
knowledge which could be lost because of staff retirement
