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

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Title: Approach to automating the construction and completion of ontologies in a scientific subject field
Authors: Sadirmekova, Zhanna, Murzakhmetov, Aslanbek, Abduvalova, Ainur, Altynbekova, Zhanar, Makhatova, Valentina, Akhmetzhanova, Shynar, Tasbolatuly, Nurbolat, Serikbayeva, Sandugash
Source: International Journal of Electrical and Computer Engineering (IJECE); Vol 14, No 3: June 2024; 3064-3072 ; 2722-2578 ; 2088-8708 ; 10.11591/ijece.v14i3
Publisher Information: Institute of Advanced Engineering and Science
Publication Year: 2024
Subject Terms: Domain ontology, Modern methods of automatic text processing, Ontology design patterns, Ontology replenishment, Patterns automatic generation
Description: 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.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://ijece.iaescore.com/index.php/IJECE/article/view/35277/17444; https://ijece.iaescore.com/index.php/IJECE/article/view/35277
DOI: 10.11591/ijece.v14i3.pp3064-3072
Availability: https://ijece.iaescore.com/index.php/IJECE/article/view/35277
https://doi.org/10.11591/ijece.v14i3.pp3064-3072
Rights: Copyright (c) 2024 Zhanna Sadirmekova, Aslanbek Murzakhmetov, Ainur Abduvalova, Zhanar Altynbekova, Valentina Makhatova, Shynar Akhmetzhanova, Nurbolat Tasbolatuly, Sandugash Serikbayeva ; http://creativecommons.org/licenses/by-sa/4.0
Accession Number: edsbas.4BD018F0
Database: BASE
FullText Text:
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  – Url: https://ijece.iaescore.com/index.php/IJECE/article/view/35277#
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  Data: Approach to automating the construction and completion of ontologies in a scientific subject field
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  Data: <searchLink fieldCode="AR" term="%22Sadirmekova%2C+Zhanna%22">Sadirmekova, Zhanna</searchLink><br /><searchLink fieldCode="AR" term="%22Murzakhmetov%2C+Aslanbek%22">Murzakhmetov, Aslanbek</searchLink><br /><searchLink fieldCode="AR" term="%22Abduvalova%2C+Ainur%22">Abduvalova, Ainur</searchLink><br /><searchLink fieldCode="AR" term="%22Altynbekova%2C+Zhanar%22">Altynbekova, Zhanar</searchLink><br /><searchLink fieldCode="AR" term="%22Makhatova%2C+Valentina%22">Makhatova, Valentina</searchLink><br /><searchLink fieldCode="AR" term="%22Akhmetzhanova%2C+Shynar%22">Akhmetzhanova, Shynar</searchLink><br /><searchLink fieldCode="AR" term="%22Tasbolatuly%2C+Nurbolat%22">Tasbolatuly, Nurbolat</searchLink><br /><searchLink fieldCode="AR" term="%22Serikbayeva%2C+Sandugash%22">Serikbayeva, Sandugash</searchLink>
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  Data: International Journal of Electrical and Computer Engineering (IJECE); Vol 14, No 3: June 2024; 3064-3072 ; 2722-2578 ; 2088-8708 ; 10.11591/ijece.v14i3
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  Data: Institute of Advanced Engineering and Science
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  Data: 2024
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  Data: <searchLink fieldCode="DE" term="%22Domain+ontology%22">Domain ontology</searchLink><br /><searchLink fieldCode="DE" term="%22Modern+methods+of+automatic+text+processing%22">Modern methods of automatic text processing</searchLink><br /><searchLink fieldCode="DE" term="%22Ontology+design+patterns%22">Ontology design patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Ontology+replenishment%22">Ontology replenishment</searchLink><br /><searchLink fieldCode="DE" term="%22Patterns+automatic+generation%22">Patterns automatic generation</searchLink>
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  Data: 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.
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  Data: https://ijece.iaescore.com/index.php/IJECE/article/view/35277/17444; https://ijece.iaescore.com/index.php/IJECE/article/view/35277
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  Data: Copyright (c) 2024 Zhanna Sadirmekova, Aslanbek Murzakhmetov, Ainur Abduvalova, Zhanar Altynbekova, Valentina Makhatova, Shynar Akhmetzhanova, Nurbolat Tasbolatuly, Sandugash Serikbayeva ; http://creativecommons.org/licenses/by-sa/4.0
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      – SubjectFull: Ontology design patterns
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