Synthesis of Concepts and Applications of Information Intelligent Systems and Knowledge Bases in Computer Science: A Systematic Literature Review
Maksutova K. Niyazova R. Talgat A. Anetova A. Yergesh M.
April 2024International Information and Engineering Technology Association
Ingenierie des Systemes dInformation
2024#29Issue 2591 - 598 pp.
In the era of technological advancement, the ubiquity of artificial intelligence necessitates a comprehensive understanding of information intelligent systems and knowledge bases in computer science. This systematic literature review addresses this essential need. The primary aim is to analyze and synthesize key aspects of practical applications of intelligent systems and the creation of knowledge bases in computer science. The research employs a combination of system analysis and analytical study methodologies. It involves a thorough literature search, encompassing various studies that focus on the principles of building information intelligent systems and knowledge bases within the field of informatics. The process includes critical examination and synthesis of data from selected studies, aiming to draw comprehensive insights. The research identifies and discusses various aspects of information intelligent systems, including their practical applications and the interaction with knowledge bases. Key findings include a detailed classification of knowledge bases according to their complexity and the role of artificial intelligence in these systems. The synthesis reveals how these systems fulfill diverse user queries through question-and-answer frameworks, highlighting their significance in modern informatics. The study underscores the importance of advanced knowledge processing technologies in computer science. The findings suggest that the effective development and implementation of information intelligent systems and knowledge bases are pivotal for modern education and various professional fields. This systematic review provides a foundation for future advancements in artificial intelligence applications, offering valuable insights for both academic and practical applications in the realm of computer science.
artificial intelligence , digital technologies in education , information systems , intelligent systems , IT sphere , knowledge bases , learning process , system analysis
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Department of Artificial Intelligence Technologies, L.N. Gumilyov Eurasian National University, Astana, 010008, Kazakhstan
Department of Information Technology, Kazakh University of Technology and Business, Astana, 010000, Kazakhstan
Department of Computing and Software, S. Seifullin Kazakh Agrotechnical University, Astana, 010011, Kazakhstan
Department of Artificial Intelligence Technologies
Department of Information Technology
Department of Computing and Software
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