Control Systems and Computers, N2, 2018, Article 3
DOI: https://doi.org/10.15407/usim.2018.02.019
Upr. sist. maš., 2018, Issue 2 (274), pp. 19-30.
UDK 004.318
Aleksandr V. Palagin, Academician of NAS of Ukraine (Computer Science), Professor, Doctor of Technical Sciences (Computers, Systems and Networks), deputy director, palagin_a@ukr.net,
Nykolay G. Petrenko, Doctor of Technical Sciences, Leading Researcher, Microprocessor Technology Department, petrng@ukr.net,
Kyryl S. Malakhov, Master of Information Technology, Junior Researcher, Microprocessor Technology Department, malakhovks@nas.gov.ua,
V.M. Glushkov Institute of Cybernetics, The National Academy of Sciences of Ukraine, Glushkov ave., 40, Kyiv, 03187, Ukraine
INFORMATION TECHNOLOGY AND INTEGRATED TOOLS FOR SUPPORT OF SMART SYSTEMS RESEARCH DESIGN
Introduction. The article describes the methodological foundations of the development of scientific research design systems, which include: models, technology and tools for processing large volumes of text information/data; the formation of conceptual structures (ontologies) of different branches of knowledge, their system integration based on transdisciplinary and ontology concepts.
Purpose. The purpose of the article is to develop information technology for the smart systems design.
Methods. The methods and models used for the smart systems design are based on the transdisciplinary and ontological concepts of knowledge information processing. Ontologies are the core components of intelligent technologies and systems in comprehensive interdisciplinary and transdisciplinary scientific research. The process of system integration of ontologies makes it possible to investigate the interaction of object knowledge, as an object at the intersection of disciplines, as well as in clusters of convergence, which opens opportunities for new knowledge and for the development of scientific theories. Integrated tools implement a unified information technology, which is based on the proposed function, information and behavioral UML-models. Information technology is designed to support the scientific research design of smart systems, which is a type of scientific research and is characterized by the fact that its main stages are related to the process of describing the alleged pattern of the projected object of the new engineering. The design process itself is built as a series of interactive procedures of deep immersion into the description of the new engineering object and the formation of the intermediate variants of the technical solution. In this case, the transformation of the object design description depends, both on object knowledge in general, and on the knowledge and experience of the designer.
Results. The information technology of research-related design of smart systems is developed. An example of the creation and patenting of a linguistic processor for processing large amounts of text data with the purpose of subsequent extraction of knowledge is considered.
Conclusion. The methodological foundations of the scientific research design systems development include models, technology, and tools for cognitive processes of information processing, including the design of the new engineering objects, the automated development of ontological knowledge bases of the knowledge domain. The last ones are the basic components of intelligent technologies and systems for comprehensive scientific research of the interdisciplinary and transdisciplinary nature. The process of system integration of ontologies makes it possible to investigate the interaction of object knowledge, as an object at the intersection of disciplines, as well as in clusters of convergence, which opens opportunities for new knowledge and the development of scientific theories.
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Keywords: research design, smart system, ontological management, ontology.
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Received 30.04.2018
