Approach to automating the construction and completion of ontologies in a scientific subject field

Zhanna B. Sadirmekova; Aslanbek Murzakhmetov; Ainur Abduvalova; Zhanar Altynbekova; Valentina E. Makhatova; Shynar Akhmetzhanova; Nurbolat Tasbolatuly; Sandugash Serikbayeva

doi:10.11591/ijece.v14i3.pp3064-3072

Approach to automating the construction and completion of ontologies in a scientific subject field

Автор(ы)

Zhanna B. Sadirmekova

Aslanbek Murzakhmetov

Ainur Abduvalova

Zhanar Altynbekova

Valentina E. Makhatova

Shynar Akhmetzhanova

Nurbolat Tasbolatuly

Sandugash Serikbayeva

Дата публикации

4 апреля 2024 г.

Тип

journal article

Издатель

Institute of Advanced Engineering and Science (IAES)

Журнал

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering

Том

14

Выпуск

3

Первая страница

3064

Последняя страница

3064

DOI

10.11591/ijece.v14i3.pp3064-3072

ISSN

2722-256X

Аннотация

Domain ontologies facilitate the organization, sharing, and reuse of subject areas. Building a software ontology is labor-intensive and time-consuming. In the process of obtaining a software ontology, it is required to analyze a huge number of scientific publications relevant to the software being modeled. The process of ontology replenishing with information from a huge number of scientific publications can be facilitated and accelerated through the use of lexical-syntactic patterns of ontological design. In this paper, we consider the possibility of automated construction of scientific subject area ontologies based on a heterogeneous patterns system of ontological design. This system includes ontological design patterns and is intended for ontology developers. System also includes automatically built lexical and syntactic patterns, which help to automatic replenishment of the ontology with information extracted from natural language texts.

Темы

ontology construction...

domain ontology

natural language proc...

software modeling

Области науки (FoS)

Computer Science

Artificial Intelligen...

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Полный текст в открытом доступе, лицензия cc-by-sa; источник: https://ijece.iaescore.com/index.php/IJECE/article/download/35277/17444

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