scholarly journals USING THE ONTOLOGY FOR CREATING KNOWLEDGE BASE OF THE EXPERT SYSTEM OF THE SUBJECT AREA OF THE STORING OF VEGETABLES AND FRUITS BY THE TECHNOLOGY «ULO»

2020 ◽  
Author(s):  
Ye. Proskurka ◽  
S. Kyrychuk
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Subject Area ◽  
Automation System ◽  
The Subject ◽  
Vegetables And Fruits

Using the ontology for creating the knowledge base of the expert system of the subject area of the storing of vegetables and fruits by the technology «ULO» is reviewed in this article. The expert system, which will be created with CLIPS language, will be used for manage of the automation system of the warehouses for the storing of vegetables and fruits by the technology «ULO».

scholarly journals DESIGN OF KNOWLEDGE BASE FOR CYBER SECURITY SYSTEMS ON THE BASIS OF SUBJECT IDENTIFICATION METHOD

2020 ◽  
Vol 4 (8) ◽  
pp. 135-148
Author(s):  
Valerii Lakhno ◽  
Dmytro Kasatkin ◽  
Maksym Misiura ◽  
Borys Husiev
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Cyber Security ◽  
Subject Area ◽  
Security Systems ◽  
Cyber Threat ◽  
Fuzzy Topological Space ◽  
Subject Identification ◽  
Objects Of Knowledge ◽  
The Eu

The article presents the results of research performed in the process of designing an expert system (ES) designed to assess the threats to information security (IS) of critical information facilities (CIF). The approach to designing of expert system on the basis of syllogisms and logic of predicates, and also a method of meaningful identification of objects of knowledge base (KB) is offered. The essence of the method is that each object of the database of the projected EU, is matched by a tuple of keywords (ToK), the significance of which is determined by experts. Thus, each database object is placed in accordance with the element of the finite fuzzy topological space of the database objects. Meaningful identification takes place on the distance between the objects of the database. The approach proposed in the work, in comparison with the decisions of other authors, has a number of advantages. Namely, it allows: to model different variants of cyber threat scenarios for CIF and their consequences; determine the contribution of each of the factors or components of the architecture of the IS CIF to the overall picture of the probability of a cyber threat to the CIF; model the interaction of all IS factors and, if necessary, visualize this interaction; calculate and further rank the values of cyber threat probabilities for CIF for specific threat scenarios; automate the processes of threat modeling through the use of developed software and significantly reduce the time for audit of threats. It is shown that the use of the method of meaningful identification allows to increase the adequacy of the models of the selected subject area, as well as to prevent erroneous introduction of the same judgments of experts and goals in the EU database, in particular by combining hierarchies of goals formed by different expert groups. It is shown that the method can also be used to find the goals of the hierarchy, the exact wording of which, according to keywords, is unknown.

scholarly journals ON THE CREATION OF THE AUTOMATION SYSTEM RELATED TO SOCIAL-ECONOMIC MOVEMENTS OF PEOPLE

2018 ◽  
pp. 29-38
Author(s):  
L. V. Rudikova ◽  
V. V. Danilchik
Keyword(s):  
Data Storage ◽  
Subject Area ◽  
General Concept ◽  
Third Party ◽  
Automation System ◽  
Universal System ◽  
External Sources ◽  
The Subject ◽  
General Architecture

Nowadays, it is considerable to develop a general concept and implement a system for storing and analyzing data related to socio-economic displacements of people. The population movement, related to long-term and short-term migrations, has an increasing nature, which directly affects the various fields of activity in a single country and the world community as a whole. The proposed article describes the subject area associated with socio-economic displacements of people, the key features of internal and external migrations are noted. Based on the subject area, the general architecture of the universal system of data storage and processing is proposed, which is based on the client-server architecture. A fragment of the data model, associated with the accumulation of data from external sources, is provided. General approaches of algorithms and data structures usage are proposed. The system architecture is described with the possibility of scaling both vertical and horizontal.The proposed system organizes the process of searching for data and filling the database from third-party sources. To do this, a module for collecting and converting information from third-party Internet sources and sending them to the database has developed. In the paper is noted the feature of the client application, which provides a convenient interface for analyzing data in the form of diagrams, graphs, maps, etc. The system is intended for various users interested in analyzing economic and social transfers, for example, to tourist organizations wishing to obtain statistics for a certain time, to airlines which could plan flights in one direction or another, as well as for state structures with the purpose of analyzing the migration flows of the population and developing appropriate strategy for their regulation.

scholarly journals A new method for creating Mivar knowledge bases in tabular-matrix form for ground intelligent vehicle control systems

2021 ◽  
Vol 2061 (1) ◽  
pp. 012123
Author(s):  
D A Chuvikov ◽  
D V Aladin ◽  
L E Adamova ◽  
O O Varlamov ◽  
V G Osipov
Keyword(s):  
Knowledge Base ◽  
Control Systems ◽  
Knowledge Bases ◽  
Subject Area ◽  
Vehicle Control ◽  
Matrix Form ◽  
Intelligent Vehicle ◽  
Knowledge Map ◽  
Knowledge Model ◽  
The Subject

Abstract This research presents a methodology for creating mivar knowledge bases in tabular-matrix form for ground intelligent vehicle control systems. At its core, this methodology is kind of instruction for analysts facing the task of formalizing knowledge in a given subject area. The result of this formalization is a “knowledge map” created according to a special proposed template. In the future, this template allows forming a knowledge base for a given subject area in the formalism of bipartite oriented mivar networks. As an example, the subject area of ground-based intelligent vehicle control systems is used as a template. The proposed methodology of knowledge formalization makes it possible to simplify the process of creating models in Wi!Mi “Razumator-Consultant” 2.1 and also to level the probability of logical collisions when designing a knowledge model in the formalism of bipartite oriented mivar networks.

scholarly journals Risk significance assessment on the basis of a fuzzy model

2021 ◽  
Vol 273 ◽  
pp. 08037
Author(s):  
Inna Nurutdinova ◽  
Luibov Dimitrova
Keyword(s):  
Risk Management ◽  
Expert System ◽  
Fuzzy Inference ◽  
Expert Knowledge ◽  
Fuzzy Model ◽  
Subject Area ◽  
Fuzzy Modelling ◽  
Risk Management Process ◽  
Nature Of Information ◽  
The Subject

The paper considers the problem of risk significance assessment in the activity of a testing laboratory. The accreditation criteria of such laboratories include requirements for implementation of risk management in the organization of their activity. To optimize the risk management process, it is proposed to create an expert system based on fuzzy modelling of the derivation of the risk significance assessment. The expediency of this approach is justified by the expert nature of information on the parameters of risks, subjectivity and uncertainty in their assessments. A description of the subject area “Risk significance assessment” is given, groups of input features and an output parameter are established, the corresponding linguistic variables are introduced, basic and extended term-sets are defined, membership functions are constructed. A fuzzy expert knowledge base has been created, the fuzzy inference of assessing the significance of risks is based on. The proposed algorithm for assessing the significance of risk was tested, confirming its suitability and effectiveness for creating an expert system.

scholarly journals AN ONTOLOGICAL APPROACH TO THE DEVELOPMENT OF A KNOWLEDGE BASE OF A DECISION SUPPORT SYSTEM FOR CHOOSING AN INDIVIDUAL EDUCATIONAL TRAJECTORY

2021 ◽  
pp. 29-34
Author(s):  
О.В. Баюк ◽  
И.О. Лозикова
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Knowledge Base ◽  
Support System ◽  
Subject Area ◽  
Educational Trajectories ◽  
Ontological Approach ◽  
The Subject ◽  
Ontological Modeling ◽  
Ontological Model

В статье рассмотрены актуальные вопросы онтологического моделирования базы знаний интеллектуальной системы поддержки принятия решения (СППР) по выбору индивидуальной образовательной траектории. Цель работы – разработка онтологической модели базы знаний системы поддержки принятия решения для построения индивидуальной образовательной траектории обучающегося. Предметом исследования является онтологическое моделирование процесса построения индивидуальной образовательной траектории. Актуальность работы обусловлена индивидуализацией образовательного процесса, который предлагается осуществлять по индивидуальным образовательным траекториям (ИОТ). При построении ИОТ большая роль отводится самостоятельному выбору и принятию решения обучающимся, где необходимо ясно видеть возможный результат своего выбора. Система построения сценариев выбора ИОТ или Система поддержки принятия решения (СППР, Decision Support System, DSS) является интеллектуальной системой, ядром которой будет база знаний на основе онтологической модели. Представлены методологические и технологические аспекты моделирования онтологии базы знаний предметной области индивидуальных образовательных траекторий, применение современных программных средств и стандартов разработки онтологических моделей. Описан метод и технология онтологического моделирования, представлены основные технологические стандарты и их теоретические основания, а также основные процессы методики проектирования. Дано описание предметной области онтологической модели, подход к построению модели базы знаний индивидуальной образовательной траектории, где сформулированы целевые вопросы данной онтологии для определения её масштаба и компетентности. Представлен последовательный процесс онтологического моделирования знаний описанной предметной области. Разработаны правила логического вывода для проверки компетентности онтологической модели и представлены результаты логических вычислений. Представлен выбор семантических технологий для разработки СППР. В заключение сделаны выводы о преимуществах онтологического подхода к разработке базы знаний системы поддержки принятия решения по выбору индивидуальной образовательной траектории и о программной архитектуре реализации данной системы. The article deals with topical issues of ontological modeling of the knowledge base of the intelligent decision support system (DSS) for the choice of an individual educational trajectory. The purpose of the work is to develop an ontological model of the knowledge base of the decision support system for building an individual educational trajectory of a student. The subject of the research is the ontological modeling of the process of building an individual educational trajectory. The relevance of the work is due to the individualization of the educational process, which is proposed to be carried out according to individual educational trajectories (IOT). When building an IOT, a large role is assigned to the independent choice and decision-making of students, where it is necessary to clearly see the possible result of their choice. The system for constructing IOT selection scenarios or the Decision Support System (DSS, Decision Support System, DSS) is an intelligent system, the core of which will be a knowledge base based on an ontological model. Methodological and technological aspects of modeling the ontology of the knowledge base of the subject area of individual educational trajectories, the use of modern software tools and standards for the development of ontological models are presented. The method and technology of ontological modeling are described, the main technical standards and their theoretical foundations are presented, as well as the main processes of the design methodology. The article describes the subject area of the ontological model, an approach to building a knowledge base model of an individual educational trajectory, where the target questions of this ontology are formulated to determine its scale and competence. A sequential process of ontological modeling of knowledge of the described subject area is presented. The rules of logical inference for checking the competence of the ontological model are developed and the results of logical calculations are presented. The choice of semantic technologies for the development of DSS is presented. In conclusion, conclusions are made about the advantages of the ontological approach to the development of the knowledge base of the decision support system for choosing an individual educational trajectory and about the software architecture of the implementation of this system.

scholarly journals Аlgorithmization of the knowledge base in service of passenger cars

2022 ◽  
Vol 14 (2) ◽  
pp. 80-88
Author(s):  
Viacheslav Pavlenko ◽  
◽  
Volodymyr Manuylov ◽  
Volodymyr Kuzhel ◽  
Vladislav Listgarten ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Base ◽  
Intelligent Systems ◽  
Driving Forces ◽  
Conceptual Modeling ◽  
Subject Area ◽  
Detailed Knowledge ◽  
Passenger Cars ◽  
Subject Areas ◽  
The Subject

The article considers the architecture of conceptual modeling of the knowledge base, which creates a model of the subject area in the form of many concepts and relationships between them. This approach is based on the concept of a mobile software agent, which is implemented and functions as an independent specialized computer program or an element of artificial intelligence. Ensuring the use of subject area knowledge has become one of the driving forces of the recent surge in the study of artificial intelligence. For example, for models of many different subject areas it is necessary to formulate the concept of time. This representation includes the concepts of time intervals, time points, relative measures of time, etc. If one group of scientists develops a detailed knowledge base, others can simply reuse it in their subject areas using their own database. Creating explicit assumptions in the subject area, which underlie the implementation, makes it easy to change the assumptions when changing our knowledge of the subject area. The process of conceptualization of TO and P, first of all, involves the development of databases in research areas for the formalization and systematization of knowledge about the characteristics of this area of entities and phenomena. That is, the use of concepts in the field of maintenance in a consistent manner in relation to theories of knowledge. Ultimately, the paper updated mathematical modeling, algorithmization and implementation of intelligent systems in the field of maintenance, which will help automate the process of diagnosis and inspection of all car systems, facilitate fault prevention and improve the maintenance process and modernize the maintenance system itself. The approach of algorithmization of the base of knowledge of a condition of the car in each moment of time considered in work gives the chance to reduce time of stay of the car in the service center and to reduce considerably expenses for passing of MOT at service of cars.

scholarly journals The Design of Inductive Modeling Tools Using Ontologies

2020 ◽  
pp. 46-54
Author(s):  
Halyna A. Pidnebesna ◽  
Keyword(s):  
Knowledge Base ◽  
Statistical Data ◽  
Subject Area ◽  
Formal Description ◽  
Complex Objects ◽  
Process Information ◽  
Modeling Tools ◽  
Ontological Approach ◽  
New Knowledge ◽  
The Subject

The architecture of the GMDH-based inductive modeling tools is considered. A feature is the use of the knowledge base in the form of an ontology of the subject area of inductive modeling. The application of the ontological approach to the design of the knowledge base makes it possible to automatically acquire new knowledge, efficiently process information in the modeling of complex objects of different nature according to statistical data, generate queries and obtain logical inferences. Fragments of the GMDH-based inductive modeling ontology are given as an example of creating a formal description of the subject area. The Protege onto editor was used to construct ontologies.

scholarly journals BUSINESS PROCESS MODELING AND DESIGN OF THE POLYCLINIC DOCUMENT MANAGEMENT AUTOMATION SYSTEM

2021 ◽  
Vol 8 (1) ◽  
pp. 023-033
Author(s):  
E. A. GAVRILOVA ◽  
◽  
I. V. FEDOROV ◽  
Keyword(s):  
Business Processes ◽  
Unified Modeling Language ◽  
Subject Area ◽  
Document Management ◽  
Automation System ◽  
Medical Field ◽  
Unified Modeling ◽  
Document Management System ◽  
The Subject ◽  
Document Flow

This article discusses the relevance of document flow automation in the medical field. The modeling of business processes of the subject area using the CASE tool AllFusion Process Modeler has been performed. An architectural description of the document management system of a medical institution is given. The architecture design was carried out using the unified modeling language UML.

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