Персона: Климов, Валентин Вячеславович
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Preface
2026, Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y., Klimov, V., Климов, Валентин Вячеславович
Модели, алгоритмы и программные средства поиска и композиции ВЕБ-сервисов с использованием семантических описанийавтореф. дисс...
2012, Климов, В. В., Климов, Валентин Вячеславович, Щукин, Б. А.
Computational modeling of insight processes and artificial cognitive ontogeny
2023, Red'ko, V. G., Samsonovich, A. V., Klimov, V. V., Самсонович, Алексей Владимир, Климов, Валентин Вячеславович
Preface
2023, Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y., Klimov, V., Климов, Валентин Вячеславович
Intelligent Processing of Natural Language Search Queries Using Semantic Mapping for User Intention Extracting
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.
Semantic Social Web Applications: Wiki Web
2024, Belozerov, A., Klimov, V., Климов, Валентин Вячеславович
Development of Graph-Theoretical Model and Operations on Graph Representations of Ontologies as Applied to Information Retrieval Tasks
2020, Maksimova, A., Klimov, V., Antonov, N., Климов, Валентин Вячеславович
© 2020, Springer Nature Switzerland AG.This paper presents a graph-theoretical model of ontologies of subject domains. An ontology represented as a weighted graph. At the vertices of the graph are concepts. The edges of the graph marked the relationship between concepts. In addition, the basic operations on the ontology graph representations introduced for ontology editing in the semantic search system.
Transforming the Field of Mobility Through Intellectualized V2X Interaction
2024, Dushkin, R., Klimov, V., Tkachenko, A., Душкин, Роман Викторович, Климов, Валентин Вячеславович
Preface
2022, Kelley, D. J., Klimov, V., Климов, Валентин Вячеславович
Establishing an Information Model for the "philologist Automated Workplace" Concept for Launching and Implementing Cross-Disciplinary Research Projects at the Interface of Socio-Humanitarian and Technical Science
2022, Baryshev, G. K., Klimov, V. V., Konashenkova, N. A., Maksimkin, A. I., Барышев, Геннадий Константинович, Климов, Валентин Вячеславович, Максимкин, Александр Игоревич
A series of processes leading to dramatic changes in all aspects of our lives are ushering in the fourth industrial revolution, the foundation of which is the development of fast-growing digital technologies. Among these are big data, blockchain, artificial intelligence and neural networks, and the Internet of Things (IoT). In order to have an understanding of digital processes and their social effect, it is necessary to describe social systems and social sectors of the economy in new terms and through a new understanding of the impact of the technologies of the fourth industrial revolution. One element of such a description is the problem of developing and transforming an academic ecosystem to launch and implement interdisciplinary projects at the intersection of the social and technical sciences. That is why we have developed the concept of the Philologist Automated Workplace as an element of the academic ecosystem for launching and implementing interdisciplinary research projects at the intersection of social and technical sciences.
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