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Голицына, Ольга Леонидовна

Организационные подразделения

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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.

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Голицына

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Ольга Леонидовна

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Теперь показываю 1 - 10 из 11

Только метаданные
Semantic Search Tools Based on Ontological Representations of Documentary Information
(2019) Maksimov, N. V.; Golitsyna, O. L.; Monankov, K. V.; Lebedev, A. A.; Bal, N. A.; Kyurcheva, S. G.; Максимов, Николай Вениаминович; Голицына, Ольга Леонидовна; Лебедев, Александр Анатольевич
Ontological means of identification and representation of text documents semantics in relation to the problems of interactive information retrieval are considered. The implementations of ontologies operations are presented, which allow forming images of new meanings in the subject area. Taxonomies of relations (paradigmatic and syntagmatic) and entities (polythematic thesaurus of concepts) are used to perform operations, as well as to identify fuzzy relationships (in the case when entities and relationships are specified at different levels of generality and/or expressed by different linguistic constructions). Interactive tools are proposed that use the operation of constructing aspect projections for graph representations of ontologies, which make it possible to reduce the dimension of the graph to a level acceptable from the point of view of display and perception. The possibilities of context-based use of entities and relationships for the development of the search process are considered. This paper discuses the use of ontology graphs of organizational processes as a "navigation map" that provides new entry points in the graphical interface, that is, objects that will be contextually defined patterns of search queries in similarity selection tasks or expert analysis tasks. This allows one not only to increase the completeness and accuracy of information retrieval, but also to make the scheme of search navigation more natural, bringing it closer to the schemes of understanding and synthesis of knowledge.
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
Graph-Ontology Model of Cognitive-Similar Information Retrieval (on the Requirements Tracing Task Example)
(2021) Maksimov, N. V.; Golitsyna, O. L.; Monankov, K. V.; Bal, N. A.; Максимов, Николай Вениаминович; Голицына, Ольга Леонидовна
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.This article considers graph-ontology tools that provide construction, visualization and analysis of an ontology graph using functions for selecting vertices and arcs, set-theoretic operations on graphs, and aspect projection operations. An aspect is specified in terms of general system theory. Aspect projection operations for graph representations of ontologies reduce the dimension of graphs to a level affordable for displaying and human perception. As applied for information retrieval process, it makes possible to move from the task of classical information retrieval to the implementation of cognitive-similar information retrieval task, represented as a search for a path or neighborhood on a multi-meta-hypergraph of an ontology, dynamically formed on the base of ontological images of founded documents or their fragments. The ontology graph is formed via auto-extracting entities and relationships from natural language texts. This article considers the application of the developed tools in the process of analysis and synthesis of knowledge on the example of technical requirements tracing.
Только метаданные
On One Approach to the Extraction of Entity and Relationships Names in the Task of Building a Semantic Search Image
(2021) Golitsyna, O. L.; Gavrilkina, A. S.; Голицына, Ольга Леонидовна; Гаврилкина, Анастасия Сергеевна
Methods and tools for identifying names of entities and relationships based on lexical and syntactic templates are considered in the framework of the task of semantic indexing of document texts. The content of the text is considered as a set of elementary facts represented by triplets, including the names of entities and relationships. Relations are divided into immanent, situational, and structural-linguistic. A taxonomy of relations is used to typify situational relations, whose classes include linguistic constructions. Immanent relations are formed on the basis of a network of concepts (thesaurus). A taxonomy of properties and units of measurement is used to identify the properties of entities. The proposed approach allows one to use the names of entities and the names of relationships, as well as elementary facts and complete semantic constructions made up of them, as a search query.
Только метаданные
From Semantic to Cognitive Information Search: The Fundamental Principles and Models of Deep Semantic Search
(2022) Maksimov, N. V.; Golitsyna, O. L.; Максимов, Николай Вениаминович; Голицына, Ольга Леонидовна
The features of human-machine documentary search focused on information support of cognitive processes are considered. The concepts of meaning and semantic information search are analyzed. The concept of deep semantic search is introduced, considered as an interactive process with search mechanisms on knowledge graph, similar to the mechanics of consciousness/cognition operations. The concept of cognitive information search is introduced, which is considered as the construction of a path of cognition-an interactive iterative and significantly dependent on the previous result formation of a target fact on a chaotic set of found facts. The result of such a search will be (1) the selection of fragments of documents that meet the real information need (and not copies of documents that meet the expressed need, as in traditional documentary retrieval system), and (2) an interactively generated semantic graph-a conceptual image of solving the user's problem. Mathematical models of deep semantic search on knowledge graphs were given.
Только метаданные
About cognitiveness of information retrieval
(2022) Maksimov, N.; Golitsyna, O.; Максимов, Николай Вениаминович; Голицына, Ольга Леонидовна
A brief specification of concept of вЂњcognitive information searchвЂќ is provided, which is considered as the construction of a вЂњpath of cognitionвЂќ вЂ“ an interactive iterative and significantly dependent on the previous result formation of a target fact on a chaotic set of found facts. The result of such a search will be (1) the selection of fragments of documents that meet the real information need (and not copies of documents that meet the expressed need, as in traditional documentary retrieval system), and (2) an interactively generated semantic graph - a conceptual image of solving the user s problem. The assessment of the вЂњcognitivenessвЂќ of interactive semantic information search based on an ontographic representation is carried out by comparing the вЂњinformationвЂќ properties of objects and processes characteristic of information search and cognition. The model of the cognition process is presented in the form of interacting functional blocks of processing and storage of information structures.
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
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
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
Ontograph Cognitive Information Retrieval: Some Experimental Evaluations
(2024) Gavrilkina, A.; Golitsyna, O.; Maksimov, N.; Гаврилкина, Анастасия Сергеевна; Голицына, Ольга Леонидовна; Максимов, Николай Вениаминович