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 IMPLEMENTATION OF THE APPROACH TO ONTOLOGICAL MODELING OF THE MUSICAL SUPERGENRE “METAL”

2021 ◽  
pp. 58-63
Author(s):  
Dariia Zelinska ◽  
Vladyslav Girdvainis ◽  
Olexiy Silagin
Keyword(s):  
Optimization Methods ◽  
Knowledge Bases ◽  
Subject Area ◽  
Semantic Search ◽  
Relational Model ◽  
Future Research ◽  
Knowledge Model ◽  
Web Resource ◽  
Subject Areas ◽  
The Subject

Background. The relevance of the article is due to the development of modern ontological methods of structuring information and the need to systematize data in many new specific subject areas. Such subject areas include the musical art of the "metal" variety, which is quite common today, but insufficiently studied within the terminology. The subject of the article are ontological models and tools for creating ontological knowledge bases. Objective. The purpose of the paper is to increase the correctness of the semantic search in the knowledge base of the musical supergenre "metal". The scientific problem is the need to improve the terminology in this subject area and build an ontological knowledge model that increases the accuracy of information retrieval for the target audience, compared to the existing relational model implemented on one of the known web resources.  Methods. Classification method, generalization method, software optimization methods, analytical method. The way to solve the problem: selection based on the comparative characteristics of the best web resource of the subject area and identifying the shortcomings of its model of knowledge representation, designing an ontological knowledge model and testing its effectiveness.  Results. The average SUM for all users is 83.85%, which is a good indicator for ontological knowledge bases. At the same time, a similar method of checking the database of the supergenre "metal" on the basis of the site "Encyclopedia Metallum", which used the classical relational model of database organization, showed much lower results. Thus, the average SUM for 10 users was 75.32%, respectively.  Conclusions. The scientific novelty of the obtained results is as follows: For the first time an ontological model (ontology) of the subject area was created: musical supergenre "metal", which showed much higher efficiency of semantic search than the best relational model of this subject area, implemented as a web resource. The developed structure can be used to create ontologies of related musical supergenres with similar terminology. Future research also plans to integrate this ontological knowledge model with applied web-based and desktop applications.

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».

Human Factors and the Automated Highway System

1992 ◽  
Vol 36 (15) ◽  
pp. 1064-1067 ◽  
Author(s):  
Elizabeth Alicandri ◽  
M. Joseph Moyer
Keyword(s):  
Human Factors ◽  
Control Systems ◽  
Vehicle Control ◽  
Intelligent Vehicle ◽  
Department Of Transportation ◽  
Automated Vehicle ◽  
Automated Highway ◽  
Automated Vehicle Control ◽  
Transportation Program ◽  
Highway System

The Intelligent Vehicle-Highway System (IVHS) is an important and broad ranging Department of Transportation program to reduce congestion and increase safety on the nation's highway system. The Automated Highway System (AHS) represents the full realization of one IVHS subsystem, Automated Vehicle Control Systems. Efforts are underway to define and resolve critical human factors questions related to the AHS. As part of the process, human factors issues will be identified through development of hypothetical AHS scenarios. This requires a generic AHS scenario be presented, and affiliated human factors issues identified.

scholarly journals Cluster Analytical Method of Fault Risk Analysis in Systems

2016 ◽  
Vol 24 (39) ◽  
pp. 167-173
Author(s):  
German Michaľčonok ◽  
Michaela Horalová Kalinová
Keyword(s):  
Cluster Analysis ◽  
Control Systems ◽  
Systems Analysis ◽  
Subject Area ◽  
Good Choice ◽  
Individual Characteristics ◽  
Security Requirements ◽  
Reduction Strategy ◽  
The Subject ◽  
Safety Systems

Abstract In providing safety functions, the proposal of safety functions of control systems is an important part of a risk reduction strategy. In the specification of security requirements, it is necessary to determine and document individual characteristics and the desired performance level for each safety. This article presents the results of the experiment cluster analysis. The results of the experiment prove that the methods of cluster analysis provide a suitable tool for analyzing the reliability of safety systems analysis. Regarding the increasing complexity of the systems, we can state that the application of these methods in the subject area is a good choice.

scholarly journals Development features and the role of glossaries in the creation of military IT-projects

2020 ◽  
Vol 4 ◽  
pp. 62-73
Author(s):  
V.F. Hrechaninov ◽  
◽  
T.K. Yeremenko ◽  
Yu.G. Pylypenko ◽  
◽  
...  
Keyword(s):  
Control Systems ◽  
Knowledge Bases ◽  
Subject Area ◽  
It Projects ◽  
Automated Control ◽  
It Systems ◽  
Corporate System ◽  
The Creation ◽  
The Military

The paper examines the role and features of the development of glossaries in the creation of information and control systems in the field of military affairs. The interest in this topic is due to the growing vol-ume of information that must be taken into account when creating such systems. A huge number of standards in this area offer a lot of definitions of terms that can contradict each other. On the other hand, the role of glossaries in projects related to the development of information systems in general is becoming more significant. Terminology management is necessary in the interaction of various groups of developers, for interaction between developers and users, and is also the basis for conceptual infor-mation modeling of automated control systems. The peculiarities of developing IT-projects require a deep study of the subject area, which is related to the study of the appropriate terminology, both from foreign and national sources. Ukraine's course to join European military structures and NATO requires the study of relevant standards and other available documentation, including Multilateral Interoperabil-ity Program (MIP) documents. A large number of terms are related to the application of world standards of the development of IT systems. Management in the military field is hierarchical, as in any state sys-tem. Such a corporate system has the ability to create a methodological center that includes unified knowledge bases on information technology and subject area standards, terminology programs. Creation of a glossary for the implementation of IT-project that would satisfy the requirements of both users and developers is a laborious task that requires processing of a large amount of information. The paper dis-cusses ways of developing thematic glossaries based on standardization and terminology.

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 Ontological approach to automatic generation of questions in intelligent learning systems

Doklady BGUIR ◽  
2020 ◽  
Vol 18 (5) ◽  
pp. 44-52
Author(s):  
Li Wenzu
Keyword(s):  
Natural Language ◽  
Knowledge Base ◽  
Structural Characteristics ◽  
Automatic Generation ◽  
Knowledge Bases ◽  
Subject Area ◽  
Learning Systems ◽  
Multiple Choice Questions ◽  
Technical Standards ◽  
Ontological Approach

This article proposes an approach for designing a general subsystem of automatic generation of questions in intelligent learning systems. The designed subsystem allows various types of questions to be automatically generated based on information from the knowledge bases and save the generated questions in the subsystem knowledge base for future use. The main part of the subsystem is the automatic generation module of questions, which allows one to generate questions of various types based on existing question generation strategies in combination with the structural characteristics of knowledge bases built using OSTIS technology. In this article, a variety of strategies for automatically generated questions are proposed, the use of which allows various types of questions to be automatically generated, such as multiple-choice questions, fill-in-the-blank questions, questions of definition interpretation and etc. The most important part of the subsystem is the knowledge base, which stores the ontology of questions, including the question instances themselves. In this article, the knowledge base is constructed based on OSTIS technical standards. The type classification of automatically generated questions was developed, as well as the subject area for storing generated questions and the corresponding ontology described in the knowledge base of the subsystem. The generated questions are stored in the subsystem knowledge base in the form of SC-code, which is the OSTIS technology standard. When testing users, these automatically generated questions are converted to the corresponding natural language form through the natural language interface. Compared with the existing approaches, the approach proposed in this article has certain advantages, and the subsystem designed using this approach can be used in various OSTISbased systems driven by OSTIS technology.

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