2012, Климов, В. В., Климов, Валентин Вячеславович, Щукин, Б. А.

2023, Epifanov, M. A., Pilyugin, V. V., Klimov, V. V., Пилюгин, Виктор Васильевич, Епифанов, Михаил Александрович, Климов, Валентин Вячеславович

In this paper, the authors describe the history of augmented reality and its applicability in scientific visualization and visual analytics. The study explores the benefits of using this technology for analysts studying spatial scenes and presents an advanced online platform for creating augmented reality projects used for educational purposes.

2019, Chernyshov, A., Balandina, A., Klimov, V., Климов, Валентин Вячеславович

© 2019, Springer Nature Switzerland AG. Nowadays the leading world scientists and engineers center their attention to data mining and machine learning algorithms optimization and acceleration rather than inventing new ones. The natural language processing methods and tools are widely in use in production in the area of machine translation. The researches in the area of search engines and semantic search are mostly concentrated on data storage and further analysis. The majority of search engines use the huge amounts of previously accumulated user requests for predicting the search output without taking in attention this user intention by qualitative processing the request. In this paper we explore the idea of usage the semantic cognitive spaces for extracting the exact user intentions by analysis the natural language input requests. The final goal of our research is to develop a valid search query model for further usage in semantic search engines.