Персона:
Максимов, Николай Вениаминович

Организационные подразделения

Организационная единица

Институт финансовых технологий и экономической безопасности

Институт финансовых технологий и экономической безопасности (ИФТЭБ) Национального исследовательского ядерного университета "МИФИ" готовит кадры в интересах национальной системы по противодействию легализации (отмыванию) доходов, полученных преступным путем, и финансированию терроризма (ПОД/ФТ). Междисциплинарность образования позволит выпускникам ИФТЭБ НИЯУ МИФИ легко адаптироваться на современном рынке труда и в бизнес-среде.

Фамилия

Максимов

Имя

Николай Вениаминович

Полная страница элемента

Результаты поиска

Теперь показываю 1 - 10 из 21

Только метаданные
Analogies between Physics and Information Processing
(2020) Lebedev, A. A.; Maksimov, N. V.; Лебедев, Александр Анатольевич; Максимов, Николай Вениаминович
The similarities of empirical dependences in a language and theoretical physical laws are considered. The issue of using quantum-mechanical models for describing textual documents semantic component is analyzed. Possible analogies between linguistic and physical objects are proposed.
Только метаданные
About Information Properties
(2025) Maksimov, N. V.; Максимов, Николай Вениаминович
Только метаданные
Cognitive Nature of Information Search in the Context of Informativeness of Cognition
(2022) Maksimov, N. V.; Максимов, Николай Вениаминович
Только метаданные
Semantic Generalization Means Based on Knowledge Graphs
(2022) Maksimov, N.; Golitsyna, O.; Gavrilkina, A.; Lebedev, A.; Максимов, Николай Вениаминович; Голицына, Ольга Леонидовна; Гаврилкина, Анастасия Сергеевна; Лебедев, Александр Анатольевич
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The article proposes approaches to text documents semantic content scaling, presented in a knowledge graph form, in order to reduce a cognitive activity working space. Two scaling types operations on graphs are considered - enlargement as aggregation based on inclusion (part-whole relationship) and generalization based on generic relationships. Examples of declarative means use for the scaling operations implementation - a relationships classification and thesaurus are given.
Только метаданные
Methods of visual graph-analytical presentation and retrieval of scientific and technical texts
(2021) Maksimov, N. V.; Golitsina, O. L.; Monankov, K. V.; Gavrilkina, A. S.; Максимов, Николай Вениаминович; Голицына, Ольга Леонидовна; Гаврилкина, Анастасия Сергеевна
© 2021 National Research Nuclear University. All rights reserved.The technology of constructing and visualizing a semantic image of the full text of the document represented by the ontology as a system of three systems is offered: Functional, conceptual and terminological. Objects and connections of the functional system correspond to the names of entities and relations extracted from the text; to objects of the conceptual system-descriptors of the thesauri of subject areas. The problem of the variable representation of entities at the sign level is solved using the rules for the formation of phrases of different lengths. Functional relationships are classified according to the taxonomy of functional relationships and are used to construct aspect projections of ontologies. As the data model of the ontology, a labeled directed graph is used, which includes nodes and arcs of different types, which makes it possible to formalize operations on ontologies. Constructing a display of set elements of ontology into graph elements in such way that elements of different sets of different systems are distinguishable, recognizable and depicted in different ways, allows to implement the principle of correspondence of the graphic image with the semantics of the visualized data. Based on the search tasks typology, metaphors for visualizing the ontology graph are proposed: The "pathfinding" metaphor, characterized by the construction of a directed chain of facts, and the "neighborhood analysis" metaphor, which is characterized by the study of the environment (context) of a fact. The technology and software for the construction and variant visualization of the ontology graph have been developed. Examples of using the proposed models for information retrieval through document texts are given.
Только метаданные
Knowledge Graphs in Text Information Retrieval
(2022) Maksimov, N.; Golitsyna, O.; Lebedev, A.; Максимов, Николай Вениаминович; Голицына, Ольга Леонидовна; Лебедев, Александр Анатольевич
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The article discusses the issues of texts ontological representations graph forms interactive use in tasks of information support by means of documentary type information retrieval systems in one of the most human activity complex types - scientific research - the new scientific knowledge output process, as result of which new facts are being established and generalized. Cognitive-like search tools on full texts based on knowledge graph is discussed. Examples of graph search using path search technologies and analysis of the neighborhood of an entity or property are given.
Только метаданные
Onto-Graphic Mechanisms for Deep Semantic Search
(2022) Lebedev, A. A.; Gavrilkina, A. S.; Maksimov, N. V.; Golitsyna, O. L.; Monankov, K. V.; Лебедев, Александр Анатольевич; Гаврилкина, Анастасия Сергеевна; Максимов, Николай Вениаминович; Голицына, Ольга Леонидовна
In human-machine document retrieval frameworks focused on information support for main activity cognitive processes, onto-graph-based mechanisms for deep semantic search are discussed. The mechanisms of the application of examples corresponding to users' cognitive states are given on graphs constructed from full texts. The paper gives a comparative evaluation of graph search mechanisms effectiveness in retrieval tasks, as applied to text reading processes.
Только метаданные
Developing Ontology of Properties and Its Methods of Use
(2020) Gavrilkina, A. S.; Maksimov, N. V.; Kuzmina, V. A.; Shirokov, V. I.; Максимов, Николай Вениаминович
© 2020, Springer Nature Switzerland AG.Developing ontology of properties and units of measurement includes fundamental properties links and units of measurement, as well as links that show the formation of concepts. General accepted metrology definitions used as the basis of ontology construction. Semiotic ontology nature taken into account: ontology includes the signs system – appellations, designations, linguistic constructions that represent information in a communicative form, as well as concepts, measures, relations that allow modeling the reality. Examples of ontology applying in the consistent representation of objects parameters analysis are shown and their using in automatic properties and values extractions from texts.
Только метаданные
On the Nature and Definitions of Information: Physics and Semantics
(2020) Maksimov, N. V.; Lebedev, A. A.; Максимов, Николай Вениаминович; Лебедев, Александр Анатольевич
The works devoted to the definitions of information roles and nature in various subject areas are considered. The identification of analogies for general concepts makes it possible to find approaches to their universal definition. The properties of the information duality and efficiency in information interactions are analyzed. The information semantics is considered, including for physical systems that do not include the subject as an active participant.
Открытый доступ
Информационные ресурсы и поисковые системы
(МИФИ, 2008) Максимов, Н. В.; Голицына, О. Л.; Тихомиров, Г. В.; Храмцов, П. Б.; Максимов, Николай Вениаминович; Тихомиров, Георгий Валентинович
Рассматриваются основы функционирования и архитектура информационных систем и распределенных ресурсов. Особое внимание уделяется информационно-поисковым системам и технологиям, представляемым в виде совокупных человеко-машинных систем, целью которых является построение системы знаний. Приводятся описания промышленных информационных ресурсов, используемых в научных исследованиях и разработках в ядерной отрасли. Приложение включает пример итеративного процесса поиска, а также справочные материалы по лингвистическому обеспечению. Для студентов специальностей «Прикладная информатика», «Информационные системы», «Прикладная математика и информатика», а также для широкого круга студентов, аспирантов и специалистов, ведущих научно-исследовательскую работу. Пособие подготовлено в рамках Инновационной образовательной программы МИФИ. Рецензент: зам. директора научной библиотеки МИФИ Стукалова Т.Н.