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Implementation of Requests to Hierarchical Graph Knowledge and Databases on the Intelligent Applications, Control, and Platform As a Service

  • PRIA JOURNAL SPECIAL ISSUE XXI NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE WITH INTERNATIONAL PARTICIPATION (CAI-2023)/SECTION 1 “KNOWLEDGE ENGINEERING”
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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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REFERENCES

  1. J. Brimhall, J. Gennick, and W. Sheffield, SQL Server T-SQL Recipes (Apress, Berkeley, Calif., 2015). https://doi.org/10.1007/978-1-4842-0061-2

    Book  Google Scholar 

  2. V. V. Gribova, A. S. Kleshchev, F. M. Moskalenko, and V. A. Timchenko, “A two-level model of information units with complex structure that correspond to the questioning metaphor,” Autom. Doc. Math. Linguist. 49, 172–181 (2015). https://doi.org/10.3103/s0005105515050052

    Article  Google Scholar 

  3. V. V. Gribova, A. S. Kleshchev, F. M. Moskalenko, and V. A. Timchenko, “A model for generation of directed graphs of information by the directed graph of metainformation for a two-level model of information units with a complex structure,” Autom. Doc. Math. Linguist. 49, 221–231 (2015). https://doi.org/10.3103/s0005105515060059

    Article  Google Scholar 

  4. V. Gribova, P. Moskalenko, E. Shalfeeva, and V. Timchenko, “Control graph based problem solvers for knowledge based systems,” in 2021 Int. Conf. on Information Technology and Nanotechnology (ITNT), Samara, 2021 (IEEE, 2021), pp. 1–6. https://doi.org/10.1109/itnt52450.2021.9649130

  5. V. V. Gribova, Ph. M. Moskalenko, V. A. Timchenko, and E. A. Shalfeeva, “The IACPaaS platform for developing systems based on ontologies: A decade of use,” Sci. Tech. Inf. Process. 50, 406–413 (2023). https://doi.org/10.3103/s0147688223050064

    Article  Google Scholar 

  6. S. Feuerstein and B. Pribyl, Oracle PL/SQL Programming: Covers Versions through Oracle Database 12c (O’Reilly Media, 2014).

    Google Scholar 

  7. Ph. A. Moskalenko and V. A. Timchenko, “Forming knowledge bases in accordance with ontological agreements on an intelligent systems development platform,” Pattern Recognit. Image Anal. 33, 432–445 (2023). https://doi.org/10.1134/S1054661823030331

    Article  Google Scholar 

  8. E. Scifo, Graph Data Science with Neo4j: Learn How to Use Neo4j 5 with Graph Data Science Library 2.0 and Its Python Driver for Your Project (Packt Publishing, Birmingham, 2023).

    Google Scholar 

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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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Correspondence to Ph. M. Moskalenko.

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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

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