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

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 3 (2024)

DOI
10.11591/ijece.v14i3.pp3064-3072
ISSN
2722-2578, 2088-8708
Published
2024-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

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.

Collaboration network of the authors

40 authors · 177 co-authorship links · 107 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • L. N. Gumilyov Eurasian National University
  • Dulaty University
  • Astana International University
  • S.Seifullin Kazakh Agro Technical University
  • Ministry of Education and Science of the Republic of Kazakhstan
  • Kazakh National Women's Teacher Training University
  • Khalel Dosmukhamedov Atyrau University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Gauhar BorankulovaAffiliation unknown6
Murat Sauranbayevich TulenbayevDulaty University4
Jamalbek TussupovL. N. Gumilyov Eurasian National University4
Gulkiz ZhidekulovaDulaty University4
Aigul Turyszhanovna TungatarovaDulaty University4
Madina SambetbayevaMinistry of Education and Science of the Republic of Kazakhstan2
Sandugash SerikbayevaL. N. Gumilyov Eurasian National University2
Aigerim YerimbetovaMinistry of Education and Science of the Republic of Kazakhstan2
Ayagoz MukhanovaL. N. Gumilyov Eurasian National University2
Moldir YessenovaL. N. Gumilyov Eurasian National University1
Gulzira AbdikerimovaL. N. Gumilyov Eurasian National University1
Gulden MurzabekovaS.Seifullin Kazakh Agro Technical University1
Nurbol KakabayevKokshetau State University1
Natalya GlazyrinaL. N. Gumilyov Eurasian National University1
Saltanat AdikanovaSarsen Amanzholov East Kazakhstan University1
Nurgul UzakkyzyL. N. Gumilyov Eurasian National University1
Rozamgul NiyazovaL. N. Gumilyov Eurasian National University1
Assemgul TynykulovaAstana International University1
Mira KaldarovaAstana International University1
Ulmeken SmailovaNazarbayev Intellectual Schools1
Ainagul MukhomedyarovaZhangir Khan West Kazakhstan Agrarian Technical University1
Zhanar AlimovaAffiliation unknown1
Marat TynykulovAffiliation unknown1
Madiyar BaitemirovL. N. Gumilyov Eurasian National University1
Tleugaisha OspanovaL. N. Gumilyov Eurasian National University1
Azamat AmirovAbylkas Saginov Karaganda Technical University1
Bolat TassuovM. Kh Dulati Taraz State University1
Assemgul KaipovaAstana Medical University1
Ulzhan MakhazhanovaAffiliation unknown1
G. B. BakhadirovaAstana International University1
Akerke Saparovna AkanovaS.Seifullin Kazakh Agro Technical University1
Gulzhan MuratovaS.Seifullin Kazakh Agro Technical University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Approach to automating the construction and completion of ontologies in a scientific subject field</dc:title><dc:creator>Sadirmekova, Zhanna</dc:creator><dc:creator>Murzakhmetov, Aslanbek</dc:creator><dc:creator>Abduvalova, Ainur</dc:creator><dc:creator>Altynbekova, Zhanar</dc:creator><dc:creator>Makhatova, Valentina</dc:creator><dc:creator>Akhmetzhanova, Shynar</dc:creator><dc:creator>Tasbolatuly, Nurbolat</dc:creator><dc:creator>Serikbayeva, Sandugash</dc:creator><dc:description>&lt;jats:p&gt;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.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2024-06-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v14i3.pp3064-3072</dc:identifier><dc:identifier>10.11591/ijece.v14i3.pp3064-3072</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 14 No 3 (2024); 3064</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/35277/17444</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>