Ontology engineering of automatic text processing methods
Sadirmekova Z. Tussupov J. Murzakhmetov A. Zhidekulova G. Tungatarova A. Tulenbayev M. Akhmetzhanova S. Altynbekova Z. Borankulova G.
December 2023Institute of Advanced Engineering and Science
International Journal of Electrical and Computer Engineering
2023#13Issue 66620 - 6628 pp.
Currently, ontologies are recognized as the most effective means of formalizing and systematizing knowledge and data in scientific subject area (SSA). Practice has shown that using ontology design patterns is effective in developing the ontology of scientific subject areas. This is due to the fact that scientific subject areas ontology, as a rule, contains a large number of typical fragments that are well described by patterns of ontology design. In the paper, we present an approach to ontology engineering of automatic text processing methods based on ontology design patterns. In order to get an ontology that would describe automatic text processing sufficiently fully, it is required to process a large number of scientific publications and information resources containing information from modeling area. It is possible to facilitate and speed up the process of updating ontology with information from such sources by using lexical and syntactic patterns of ontology design. Our ontology of automatic text processing will become the conceptual basis of an intelligent information resource on modern methods of automatic text processing, which will provide systematization of all information on these methods, its integration into a single information space, convenient navigation through it, as well as meaningful access to it.
Automatic text processing methods , Content patterns , Domain ontology , Ontology completion , Ontology design patterns , Ontology engineering
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Department of Information Systems, Faculty of Information Technology, M.Kh. Dulaty Taraz Regional University, Taraz, Kazakhstan
Institute of Information and Computational Technologies, Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan, Almaty, Kazakhstan
Department of Information Systems, Faculty of Information Technology, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Department of Computer Science, Kazakh National Women’s Teacher Training University, Almaty, Kazakhstan
Department of Information Systems
Institute of Information and Computational Technologies
Department of Information Systems
Department of Computer Science
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