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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 July 2023, Volume 38 Issue 3
    Article

    ARTIFICIAL INTELLIGENT DIALOGUE SYSTEM BASED LEARNING TECHNOLOGY
    Hassan Al-Wahshat
    Journal of Data Acquisition and Processing, 2023, 38 (3): 5716-5723 . 

    Abstract

    The study considers the current problems related to the individuality, difficulties, and perspectives of the design of an intellectual dialogue learning system based on ontology. The study formalizes the educational server's architecture and ontology's formal model. Special attention is given to creating an ontology to design an intellectual interactive learning system. This study considers the integration and merging stage of the existing ontologies, in which the author proposes to use a unique algorithm. The article also provides an overview of different programming languages, which can be used to describe ontological knowledge bases. Via using object-oriented programming, the author proposes a procedure for creating an architecture ontological intelligent interactive learning system.

    Keyword

    ontology, artificial intelligence, architecture, declarative description.


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ISSN 1004-9037

         

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