Knowledge management system and digital transformation of company

Abstract

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.