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Forming Knowledge Bases in Accordance with Ontological Agreements on an Intelligent Systems Development Platform

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Abstract

This paper presents mechanisms to support the specification and verification of ontological agreements for a two-level connected directed graph model of information units. The application of the proposed approaches in the process of forming knowledge bases should make it possible to specify and verify such agreements without intermediaries (represented by 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 Intelligent Systems Lab (named after A.S. Kleshchev) for valuable comments and advice in conducting the study, as well as for recommendations given during the preparation of this article.

Funding

The work was carried out within the government tasks FZNS-2023-0010 (development of means and tools for creating ontological databases and knowledge bases on the IACPaaS platform) and 0202-2021-0004 (development of thematic knowledge bases in medicine). The sponsor representatives were not involved in the research and article preparation.

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Authors and Affiliations

  1. Institute of Automation and Control Processes, Far Eastern Branch, Russian Academy of Sciences, 5 Radio, 690041, Vladivostok, Russian Federation

    Ph. M. Moskalenko & V. A. Timchenko

Authors
  1. Ph. M. Moskalenko
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  2. V. A. Timchenko
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Corresponding authors

Correspondence to Ph. M. Moskalenko or V. A. Timchenko.

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The authors declare that they have no conflicts of interest.

Additional information

Philip Mikhailovich Moskalenko, Cand. Sci. (Eng.) is a senior researcher at the Kleshchev Laboratory of Intelligent Systems, Institute for Automation and Control Processes, Far Eastern Branch, Russian Academy of Sciences. He received his Candidate’s degree in 2011 for his thesis on Methods for Solving Medical Diagnostics Problems Based on a Mathematical Model of the Subject Domain and is a participant in the development and implementation of the IACPaaS cloud computing platform. His scientific interests include the construction of knowledge-based systems and tools for the development of intelligent systems.

Vadim Andreevich Timchenko was born 1983. He graduated from the Institute of Mathematics and Computer Science, Far East State University (2005), Cand. Sci. (Eng.) (2011), and is a senior researcher at the Kleshchev Laboratory of Intelligent Systems, Institute for Automation and Control Processes, Far Eastern Branch, Russian Academy of Sciences. He has authored about 100 papers in the field of artificial intelligence, knowledge-based problem-oriented systems, and specialized software models and systems. AuthorID (RSCI): 180470; Author ID (Scopus): 57201774103; Researcher ID (WoS): Q-4380-2016.

Translated by D. Sventsitsky

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Moskalenko, P.M., Timchenko, V.A. 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

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