Automatic extraction of ontology entity names

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.

Authors

Publication Details

Journal
Bulletin of the National Engineering Academy of the Republic of Kazakhstan
Published
2024-12-30
DOI
https://doi.org/10.47533/2024.1606-146x.016
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Automatic extraction of ontology entity names

Elmira Daiyrbayeva, Zhanna Sadirmekova, Nurbolat Tasbolatuly, T. Eshmahanova et al.
Bulletin of the National Engineering Academy of the Republic of Kazakhstan
Semantic Web and Ontologies
article

Automatic extraction of ontology entity names

Elmira Daiyrbayeva, Zhanna Sadirmekova, Nurbolat Tasbolatuly, T. Eshmahanova, Zh.T. Altynbekova
article en

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.

Bulletin of the National Engineering Academy of the Republic of KazakhstanVol. 94(4)
Openalex Percentile: Top 73%
Semantic Web and Ontologies
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