Optimization of computer ontologies for e-courses in information and communication technologies

A methodology is proposed for modifying computer ontologies (CO) for electronic courses (EC) in the field of information and communication technologies (ICT) for universities, schools, extracurricular institutions, as well as for the professional retraining of specialists. The methodology includes t...

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Bibliographic Details
Published in:International Journal of Electronics and Telecommunications 2024-01, Vol.70 (1), p.191-197
Main Authors: Sabitova, Nazym, Tikhonov, Yuriy, Lakhno, Valerii, Kariyrbek, Makulov, Kryvoruchko, Olena, Chubaievskyi, Vitalyi, Desiatko, Alona, Zhumadilova, Mereke
Format: Article
Language:English
Subjects:
Communications technology
computer ontologies
electronic courses
electronic textbooks
genetic algorithm
Genetic algorithms
graph
Graphical representations
matrix description
Methodology
Ontology
Software
subject area
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Summary:A methodology is proposed for modifying computer ontologies (CO) for electronic courses (EC) in the field of information and communication technologies (ICT) for universities, schools, extracurricular institutions, as well as for the professional retraining of specialists. The methodology includes the modification of CO by representing the formal ontograph of CO in the form of a graph and using techniques for working with the graph to find optimal paths on the graph using applied software (SW). A genetic algorithm (GA) is involved in the search for the optimal CO. This will lead to the division of the ontograph into branches and the ability to calculate the best trajectory in a certain sense through the EC educational material, taking into account the syllabus. An example is considered for the ICT course syllabus in terms of a specific topic covering the design and use of databases. It is concluded that for the full implementation of this methodology, a tool is needed that automates this procedure for developing EC and/or electronic textbooks. An algorithm and a prototype of software tools are also proposed, integrating machine methods of working with CO and graphs.
ISSN:2081-8491
2300-1933
DOI:10.24425/ijet.2024.149530