Abstract
This article presents mechanisms to support the formation and execution of ontological queries for an orgraphic coherent two-level model of information units (knowledge and data bases). The application of the proposed approaches in the processing of knowledge bases should make it possible to make such queries without intermediaries (programmers). The implementation of the proposed solutions on a platform designed for the creation and use of cloud-based artificial intelligence systems is also described.
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ACKNOWLEDGMENTS
We thank our colleagues from the Kleshchev Laboratory of Intelligent Systems of the Institute of Automation and Control Processes of the Far East Branch of the Russian Academy for valuable comments and helpful remarks during the research.
Funding
This work was supported by the Ministry of Science and Higher Education of the Russian Federation, project nos. FWFW-2021-0004 (Development of Query Specification Language for Ontological Knowledge Bases. Test of the Results) and FZNS-2023-0010 (Development of Methods for the Implementation of the Knowledge Base Query Executor).
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Philip Mikhailovich Moskalenko, Candidate of Technical Sciences. Senior Researcher at the Kleshchev Laboratory of Intelligent Systems of the Institute of Automation and Control Processes of the Far Eastern Branch of the Russian Academy of Sciences (Vladivostok). Senior Researcher at the Laboratory of Big Data Analysis in Healthcare and Medicine (Department of Clinical Medicine of the School of Medicine) of the Far Eastern Federal University (Vladivostok). Participates in the development and implementation of the IACPaaS cloud computing platform. Scientific interests: building knowledge-based systems, creation of tools for the development of intelligent systems, and cloud computing.
Translated by O. Pismenov
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Moskalenko, P.M. Implementation of Requests to Hierarchical Graph Knowledge and Databases on the Intelligent Applications, Control, and Platform As a Service. Pattern Recognit. Image Anal. 34, 478–484 (2024). https://doi.org/10.1134/S1054661824700238
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DOI: https://doi.org/10.1134/S1054661824700238