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Ontology engineering of automatic text processing methods
Автор(ы)
Zhanna B. Sadirmekova
Jamalbek Tussupov
Aslanbek Murzakhmetov
Gulkiz Zhidekulova
Aigul Turyszhanovna Tungatarova
Murat Sauranbayevich Tulenbayev
Shynar Akhmetzhanova
Gaukhar Borankulova
Дата публикации
24 сентября 2023 г.
Тип
journal article
Издатель
Institute of Advanced Engineering and Science (IAES)
Том
13
Выпуск
6
Первая страница
6620
Последняя страница
6620
ISSN
2722-256X
Аннотация
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.
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