Semantic Deformation of Professional Subject Area of Future Engineers in the Information Retrieval Process

Advances in information technologies and changes in scientific, social and technical spheres have revealed new opportunities for the development of human society. These opportunities known as “Digital Economy” and “Industry 4.0” require significant changes in both content and process of university education. To prepare successful graduates educators should align themselves with the 4th industrial revolution featured by remote employment and transferring of human labor functions to cyber-physical systems with artificial intelligence components. As a result, the interaction of human intelligence and the formal systems is increasing; new human-machine interfaces and formal knowledge representation models appear. Therefore, there is a need to study information transformations during human-machine interaction. The paper describes the study of semantic transformation influence on subject area representation using professional multilingual search queries in general-purpose search engines and scientometric databases. By qualitative and quantitative analysis, some linguistic patterns were distinguished and data retrieval skills development guidelines were provided.