Персона: Вольфенгаген, Вячеслав Эрнстович
Email Address
Birth Date
Результаты поиска
Computationally inspired cognitive modeling
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.
A Computational Model for Supporting Access Policies to Semantic Web
© 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.
Indexical structures to enable knowledge mining tasks
© 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.
Computational Model for Granulating of Objects in the Semantic Network to Enhance the Sustainability of Niche Concepts
© 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.
Data Enrichment with Provision of Semantic Stability
© 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.
Semantic models to indicate post-truth with fake news channels
© 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).
Semantic framework for data flow control in the network of information graphs
© 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.
Network Modeling Environment for Supporting Families of Displaced Concepts
© 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.
Capturing push-processing using enriched semantic mesh equipped with functionals-and-hops model
© 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).
Increasing of Semantic Sustainability in the Interaction of Information Processes
© 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.