Персона:
Вольфенгаген, Вячеслав Эрнстович

Организационные подразделения

Организационная единица

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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Вольфенгаген

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Вячеслав Эрнстович

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Теперь показываю 1 - 10 из 45

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Prototype Mechanisms for Supporting the Network of Links to Parameterized Data Objects
(2021) Kosikov, S.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
© 2020 Elsevier B.V.. All rights reserved.The paper considers methods to organize a network of links to parameterized data objects. A data object is an object identified by standard methods, including the network identifiers URI, URL and URN. The data objects can be either atomic or have a complex structure, including links to other objects, and this ensures the linking of objects into a network, which can be considered as an information graph. It turns out to be possible to formulate a number of criteria for supporting the integrity of such a structure; the paper proposes language tools to formulate such criteria. An essential feature of this network is the dependence of the objects' information content on a number of parameters, first of all, on time. Depending on the parameter, the information content of the object can change both with the preservation of the integrity of the structure, and with its damage. The paper considers methods for a parameterized description of objects while maintaining integrity based on the formalism of category theory. The formalization used allows defining two relations between objects and their names (identifiers): access and links. The paper studies the basic properties of such relations and reveals the differences between them. Category theoretical means of describing objects require appropriate support tools for practical application. The paper proposes a configuration of support tools for a network of links to parameterized data objects based on a combination of conceptual modeling tools and applicative computing tools. The proposed tools provide basic methods of access to the network of information graphs. An essential feature of the proposed tools is the ability to determine the subjective way of considering the information graph (based on the category of correlations), as well as harmonizing an objective and subjective way of considering. The proposed tools were tested in the development of applied information systems in the field of implementation of the best available technologies (BAT).
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A Semantic Model for Indexing in the Hidden Web
(2021) Kosikov, S.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
© 2020 Elsevier B.V.. All rights reserved.We argue that that the use of the Carnap - Bar-Hillel principle of indexed expressions provides a suitable cognitive model to undergo the spread of information processes in the Semantic Net. To understand the stratification of the net into the surface Web and the hidden Web, a model structure is proposed that provides navigation through the net as a whole. For logical expressions, a relativized evaluation map is given, which is parameterized by the indexing system. It is allowed to use concepts that are generated using partial functions, the variables of which run over the range of possible individual information processes. A generalized operator providing virtualization is presented for individuals. The process is accompanied with the dynamic generation of Web-pages, which triggers their indexing. This way they are thereby transferred to the surface layer of the network. A commutative diagram is proposed that establishes a cognitive model of semantic constructions of variable domains, the connection of virtual individuals with actual ones which corresponds to transitions over the stages of knowledge. The knowledge stages are modeled by indexing systems.
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Data Enrichment in the Information Graphs Environment Based on a Specialized Architecture of Information Channels
(2021) Kosikov, S.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
© 2020 Elsevier B.V.. All rights reserved.The paper considers the possibility of constructing a specialized computing system oriented at the transmission of data through information channels, that are determined taking into account the semantics of the selected data. In the process of computations the data is connected with semantic characteristics that describe the channel of computations, which can be considered as a method of semantic data enrichment. The system of information channels as a whole can be considered as an information graph describing the structuring of the processed data. The information graph supports the data model in the form of a network, the framework of which are objects and the relationships between them. The paper proposes language tools for determining the information graph and interpretation tools that provide practical computations. The set of information channels that make up the information graph can be considered as a low-level tool for data enrichment. The paper studies the possibility of determining tools of higher level. An applicative type language is proposed for defining information graphs, the syntax and semantics of the language are specified. The proposed language can be considered as an intermediate level tool for defining semantics. A procedure is proposed for compiling the language into a low-level construct, preserving the semantics of the language. The supporting system for the proposed computing system includes a low-level language interpreter, as well as an intermediate-level language compiler into a low-level language. The supporting system is implemented in an applicative programming environment. Some elements of the supporting system were tested when developing applied information systems in the field of jurisprudence.
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Capturing information processes with variable domains
(2020) Kosikov, S.; Wolfengagen, V.; Ismailova, L.; Вольфенгаген, Вячеслав Эрнстович; Исмаилова, Лариса Юсифовна
© 2020 The Authors. Published by Elsevier B.V.An approach to the construction of a computational model in which information processes are presented in the framework of theories without types, and they, in turn, are considered as special parts of typed theories, is proposed. Similar mixing was used in model studies for lambda-calculus. In contrast to them, in the present work, information processes correspond to parameterized metadata objects, which are variable domain constructs. Transformations of variable domains correspond to the spread of the process. Directional transformation provides the generation of metadata targets in the form of parameterized concepts. This simulates the evolving of the process, which allows the interpretation of the hidden time factor. The emerging model is purely process-based and provides a conceptual framework. The possibility of coding this framework with a system of interdependent lambda-terms is shown.
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Hereditary information processes with semantic modeling structures
(2020) Kosikov, S.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
© 2020 The Authors. Published by Elsevier B.V.In practice, when developing an information model, inheritance and composition mechanisms are used, which allows the model developer to extend the properties of the class. In this paper, we establish and use the difference between these two closely related representations when applied in aspect-oriented modeling. In particular, when an aspect is applied to extend the base class of the original model, the designer must choose to use composition. Depending on the composition order, indexing occurs, which can lead to the expansion of the base class by dynamic effects. With a different compositional order, a class narrowing occurs, since it becomes necessary to take into account an additional property. If you intend to define an alternative to a base class with advanced functionality, then inheritance should be used. The work demonstrates the power of the combined use of inheritance and composition, which allows us to develop an aspect-oriented modeling of a family of property transformations, in which a line of intermediate models of the working information process arises.
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Building a cognitive system based on process interaction
(2024) Wolfengagen, V.; Ismailova, L.; Kosikov, S.; Вольфенгаген, Вячеслав Эрнстович; Исмаилова, Лариса Юсифовна
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Semantic models to indicate post-truth with fake news channels
(2020) Kosikov, S.; Maslov, M.; Dohrn, J.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
© 2020 The Authors. Published by Elsevier B.V.The notion of post-truth currently is used for denoting circumstances in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief. At present, the post-truth, which means any fact that is interpreted in that system of values that you already know and are already familiar with, is taking an increasing share in the information space. Post-truth means circumstances in which objective facts have less influence on the formation of public opinion than emotions or personal beliefs. In this space, the subject is vulnerable to targeted informational impact, and his cognitive activity is redirected under the influence of the environment. In fact, from the point of view of information processes, the subject is not even in the world of post-truth, but in the world of fake news, which is beginning to crowd out healthy information resources. A semantic model of such an information space is proposed, which allows one to record the occurrence of a channel of potential undesirable effects. A computational model of the channeled impact is formulated on the basis of the original model of the interaction of information processes when the formation of an erroneous opinion (bug) for an information resource (Page) with its damage (harm), i.e. causing damage by indicating a false benefit (fake), provided that the user of the resource pursues (hit) a certain interest or benefit (Gain).
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Capturing push-processing using enriched semantic mesh equipped with functionals-and-hops model
(2020) Kosikov, S.; Dohrn, M.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
© 2020 The Authors. Published by Elsevier B.V.One of the aims of this paper is to study how to define meshes, a kind of wireframe semantic models hidden behind the variety of external forms of manifestation of information processes on the Web. Their purpose is to fix non-logical patterns, some of which are constant, and some of then are varying with time/events. An enriched semantic model arises at the next stage of knowledge extraction and establishes conceptual dependencies in the form of a graph in which the nodes correspond to variable domains and/or variable concepts, and the edges are natural transformations. A computational model based on parametric functionals is generated. The areas of semantic stability are the imposed conditions of commutativity, which correspond to the emergence of information channels and the possibility of their equal use for promoting information over the network. In the computational model, this gives rise to a machinery for preventing confusion/entanglement of information processes based on the equality of representing functionals. Arguments in favor of its importance are given by the example of some tasks of social engineering (phishing).
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Indexical structures to enable knowledge mining tasks
(2020) Kosikov, S.; Marenkov, A.; Ermak, M.; Slieptsov, I.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
© 2020 The Authors. Published by Elsevier B.V.In this paper, it is shown that semantic modeling technologies rely on data indexing systems. The semantic information theory known today is based on the method of using the principle of index expressions, using the division into real, possible and virtual individuals/data objects. Organization of a search on the Web for the concept of conceptual modeling of information processes based on variable domains that is being developed in the work is based on the natural requirements imposed on data organization. The model structure implements the separation of individuals, which manifests itself in the interaction of data organization, search and indexing. The identity of the data and the information processes designated by them is achieved in this model structure. A skeleton view of the organization of the search is being developed, leading to the maintenance of a network of variable domains and the possibility of deploying on them a conceptual modeling of interacting information processes.
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Semantic framework for data flow control in the network of information graphs
(2020) Kosikov, S.; Zaytsev, V.; Wolfengagen, V.; Ismailova, L.; Вольфенгаген, Вячеслав Эрнстович; Исмаилова, Лариса Юсифовна
© 2020 The Authors. Published by Elsevier B.V.The mixed information stream of reliable, semi-reliable and obviously false data observed in the network is a data flow in the so-called facilitated format, the task of which is to somehow attract attention, influence the emotional sphere in the form of hype-information, which helps to make hasty decisions and harm-actions. A growing variety of forms of technological push-impact, which are successfully used for commercial purposes. Nevertheless, the study of various push-forms shows that they are based on a single semantic component that uses the offset of actual concepts to achieve the benefit of the information provider. The consumer of push services receives an apparent benefit that is far from his actual interests and intentions. A semantic computational model is proposed that captures the emerging bias of concepts. The concept of a semantic broadcasting channel is developing. The paper considers the task of constructing specialized semantic systems in the form of information graphs. The information graphs are considered as structured sets of vertices that define the method of processing information and are connected by arcs, describing the sequence of processing. In its turn, an information graph can be used as an arc, which gives hyper-graph nature to the network in the whole. The information graphs are compared with other data flow control tools. The tools for constructing transformational semantics for calculations above information graphs are offered, which assume the specialization for the class of computations associated with the vertices of the graph. A method for making an abstract computing machine with a given semantics is proposed. The paper considers an example of making an abstract machine for the case of deterministic semantics, which is illustrative for certain fragments of antimonopoly legislation.