Recommended system of personalized corporate e-learning based on ontologies

Abstract

Corporate e-learning is becoming general, the use of electronic learning systems is constantly expanding. Corporate training is characterized by the availability of a corporate knowledge base, which is constantly expanding. In order to achieve stable development of company, transparency and access to knowledge and information is necessary. This ensures a thorough understanding of the executed work by all employees of the company. Therefore, a key objective in this context is a generalization, accumulation and transmission of corporate knowledge to any employee of the company under the corporate training. In addition, it is crucial to find the suitable content in the learning process in order to save time and quickly get involved in the workflow. Thus, new systems are needed that can effectively recommend the necessary educational material for users on the basis of their preferences.