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Исмаилова, Лариса Юсифовна

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Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
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Теперь показываю 1 - 10 из 10
  • Публикация
    Только метаданные
    Computationally inspired cognitive modeling
    (2024) Wolfengagen, V.; Ismailova, L.; Kosikov, S.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
    A computational approach to cognitive modeling is proposed. The computational model is a parametric construction that takes into account cognitive stages and transitions between them. The cognitive model enables the idea of information processes, from their birth and appearance in a scope, evolution and canceling out their existence and disappearing from the scope. Process habitats are Lawvere's variable domains; inter-transition is based on the notion of channeled spreading of processes.
  • Публикация
    Только метаданные
    Data Enrichment with Provision of Semantic Stability
    (2019) Kosikov, S. V.; Wolfengagen, V. E.; Ismailova, L. Y.; Вольфенгаген, Вячеслав Эрнстович; Исмаилова, Лариса Юсифовна
    © 2019, Springer Nature Switzerland AG. The paper considers the problem of data enrichment, which is understood as supplying the data with semantics with further introduction of structuring. It also considers the data collected from heterogeneous sources with their subsequent organization in the form of information graphs. A data model is used in the form of a network, the framework of which is objects and relations between them. What is more, as objects, in turn, the relations can be used, and this potentially leads to higher order structures. The data connections and data dependencies are also taken into account. Providing semantic stability during the data enrichment requires solving a number of problems, among which the search for semantically unstable objects, their classification by types of instability and the identification of ways to overcome the instability. An approach is proposed to solve these problems on the basis of the homotopic type theory. Methods are considered for modifying unstable objects for types of different structures. The paper discusses the possibilities of using the results in information systems that allow to increase the “degree of cognitization” of the data and, in the long term, the transition to cognitive business.
  • Публикация
    Только метаданные
    Network Modeling Environment for Supporting Families of Displaced Concepts
    (2019) Kosikov, S. V.; Ismailova, L. Y.; Wolfengagen, V. E.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
    © 2019, Springer Nature Switzerland AG. The paper considers the problem of supporting the semantic stability of the information system in the course of changing its subject area. The representation of changes is performed on the basis of connection of methods of applicative computational technologies and the “functor-as-object” construction by the use of formalism of displaced concepts. The database of the system is represented as a semantic network. Various mechanisms of the displaced concepts arising are considered, including those for formalizing the change in the scope of the concepts of the subject area, their definitions and recognition functions, as well as the parametric mechanism of displacement when the concepts associated with the original ones are changed. To ensure the manipulation of displaced concepts, a single presentation mechanism is used based on the “functor-as-object” construction. Basic constructions are created to represent a set of situations for the use of the displaced concept, and also for taking into account the connections of situations. The methods of topology and category theory are applied. The paper discusses possibilities of representation of the network modeling environment for supporting families of displaced concepts in the form of a set of representative constructions of an applicative computing system and solutions for constructing the appropriate tool environment. The following results are presented - of testing the prototype components of the environment while solving cognitive type problems in the field of jurisprudence.
  • Публикация
    Только метаданные
    A Computational Model for Supporting Access Policies to Semantic Web
    (2019) Kosikov, S. V.; Ismailova, L. Y.; Wolfengagen, V. E.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
    © 2019, Springer Nature Switzerland AG. The paper discusses a solution to the problem of data storage in a Web environment and providing access to the data based on their semantics. The problem involves restricting access to data in accordance with the description of the access rights for different classes of users. The information is interpreted in different ways according to the semantics assigned to users. Access policies are proposed as the main technical tool for describing access rights. The provided information is consistent with the semantic description of the user accessing the information. The semantic matching of descriptions of users and the data representation combines formal and informal moments and in general is of a cognitive character. The proposed solution is based on the use of data representation in the form of semantic networks. The solution has computational nature and involves calculating the value of the structures of a specialized control semantic network describing access policies. The solution is presented in the form of a computational model, which is based on the intensional logic. The constructions of the model include both a logical means of general type and specialized structures for control the degree of intensionality. The model provides calculation of construction values depending on the parameter - assignment point. The proposed method of parameter assigning provides the possibility of taking into account the semantic characteristics of users of different classes, as well as a number of other factors essential to support the semantic network (including the presence of different versions). The article offers the architecture of the instrumental complex to support access policies that support the developed computational model, and describes its main components. The components were tested in solving practical problems in the field of jurisprudence to ensure the manipulation and visualization of concepts.
  • Публикация
    Только метаданные
    Increasing of Semantic Sustainability in the Interaction of Information Processes
    (2020) Kosikov, S.; Parfenova, I.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
    © 2020, Springer Nature Switzerland AG.Ordinary semantic network in use is based on the referencing of individuals in a constant mode. When modeling the interaction of information processes, there is a dynamic that requires a transient process. In this case, individuals can be dereferenced, which leads to a violation of the stability of the information system (IS). A dynamic model is proposed and, in particular, based on (after-became)-neighborhood of properties in the semantic network. There is a semantic Web, in which there is individual confluence, i.e. semantic vulnerabilities. A semantic secure solution is based on: (1) the semantic sustainability of interrelated information processes, (2) granulation of data-metadata objects, and (3) the generation of variable metadata objects. This is done against the background of the formation of “possible worlds” as a spectrum of evolving the events. There is a transformation of properties and an associated transition process, for which a means of ensuring sustainability is proposed.
  • Публикация
    Только метаданные
    Computational Model for Granulating of Objects in the Semantic Network to Enhance the Sustainability of Niche Concepts
    (2020) Kosikov, S.; Volkov, I.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
    © 2020, Springer Nature Switzerland AG.An applicative model is proposed for a conceptual interface with primitives: niche, associated granularity and concordance. The approach is adequate to the problem domain of law enforcement activities, practical tasks of which serve as an experimental base. The niche is the environment for interaction of concepts, in accordance with the norms and limitations of this environment. Granularity indicates the relative level of power or influence of the defining property of the concept within the niche. The concordance is the relation of several concepts with one approved defining property, when their different representations are linked, through negotiations, into a unit of consensus. As expected, niches and granularity will facilitate the process of presenting a complicated problem domain, allowing gradually detect and eliminate inaccuracies in the target model, increasing its degree of semantic homogeneity and sustainability.
  • Публикация
    Только метаданные
    Dynamics of Recognition of Properties in Diagnostics
    (2020) Kosikov, S.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
    © 2020, Springer Nature Switzerland AG.The issues of processing semantic information for diagnostic studies are considered, in which, with the advent of personalized medicine, the task of ensuring efficiency and accuracy has come to the fore. The solution of such problems is associated with the need to recognize the properties of the samples, which is done by experts/crowdsourcers using the means of semantic modeling. In this regard, the analysis is subject to communication (1) level of knowledge with (2) forms of information processing and with (3) levels of abstraction. For this, a dynamic semantic model is developed and applied that can take into account such parameterization.
  • Публикация
    Только метаданные
    Environment of Modeling Methods for Indicating Objects Based on Displaced Concepts
    (2020) Kosikov, S.; Zinchenko, K.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
    © 2020, Springer Nature Switzerland AG.The paper considers the problem of constructing domain models based on a semantic network. One of the faced difficulties is to support the indication of objects that form the semantic network, while displaying the dynamics of the domain; this indication assumes the possibility of dynamic creating, modifying, and deleting objects. In this case the indication of objects is possible both by name and by position in the semantic network, as well as by the set of properties of the object. It shows that the set of indication methods required for modeling essentially coincides with the set required for controlling access to objects of the network; this makes it possible to consider the indication of objects and access control as two aspects of one task. The solution of the problem can be achieved based on using the technique of displaced concepts and description methods to indicate objects and access to them as specialization of concept bias. The paper generates requirements to the methods of objects indication and proposes an environment that provides modeling of various methods of indication based on the support of methods for modeling the shift of concepts in an applicative computing system. It describes a prototyped implementation of the environment by the method of extending an applicative system. The implementation was tested on the tasks of describing dynamic domains to support the introduction of the best available technologies.
  • Публикация
    Только метаданные
    Mutable Applicative Model to Prevent Entanglement of Information Processes
    (2020) Kosikov, S.; Maslov, M.; Wolfengagen, V.; Ismailova, L.; Вольфенгаген, Вячеслав Эрнстович; Исмаилова, Лариса Юсифовна
    © 2020, Springer Nature Switzerland AG.A system for detecting and possibly preventing undesirable changes in the properties of objects within information system (IS), leading to a violation of the semantic consistency of information, unstable functioning of the IS and, ultimately, loss of its operability, is proposed. The modeling tools is a means for detecting and preventing the destruction of the semantic integrity of data/metadata objects in IS. The basis is the original computational model, which increases the sustainability of semantic nets, while giving them more opportunities to reflect the dynamics of the problem domain. This gives rise to IS with increased expressive capabilities, supporting the evolving semantic nets, integrated with the Web. Mechanisms for modeling the dynamics of concepts and the computational model contribute to overcoming the contradictions that exist for today in the application of semantic information technologies.
  • Публикация
    Только метаданные
    Cognitive Features for Stability of Semantic Information Processing
    (2020) Kosikov, S.; Wolfengagen, V.; Ismailova, L.; Вольфенгаген, Вячеслав Эрнстович; Исмаилова, Лариса Юсифовна
    © 2020, Springer Nature Switzerland AG.The issues of semantic information processing are considered. The central idea of information in the modern world is still an elusive concept. It is known that information must be quantified, at least in terms of partial ordering, to be additive, stored and transmitted. However, besides all this, there is no clear idea about its specific nature. The development of cognitive technologies poses the question of forms of knowledge representation: can the “stage of knowledge” be fully and faithfully analyzed in terms and forms of information processing at some level of abstraction? In other words, the analysis is to relate (1) the stage of knowledge with (2) forms of information processing and (3) levels of abstraction. Among the problems posed by the development of information technology, one of the key roles is played by the information semantics. The most significant open problems imply the development of research on a new basis in the following areas: providing data substantiation (how data can acquire meaning); ensuring the truth of the data (as meaningful data can acquire true values); building an information theory of truth (can information explain truth); constructing information semantics (can information explicate a value).