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

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Approach to automating the construction and completion of ontologies in a scientific subject field
(Institute of Advanced Engineering and Science (IAES), 2024-04-04)
Zhanna B. Sadirmekova
;
Aslanbek Murzakhmetov
;
Ainur Abduvalova
;
Zhanar Altynbekova
;
Valentina E. Makhatova
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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Ontology engineering of automatic text processing methods
(Institute of Advanced Engineering and Science (IAES), 2023-09-24)
Zhanna B. Sadirmekova
;
Jamalbek Tussupov
;
Aslanbek Murzakhmetov
;
Gulkiz Zhidekulova
;
Aigul Turyszhanovna Tungatarova
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.
Цитирования (OpenAlex) 3Цитирования (OpenCitations) 4
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Parallel numerical simulation of the 2D acoustic wave equation
(Institute of Advanced Engineering and Science (IAES), 2024-10-03)
Arshyn Altybay
;
Dauren Darkenbayev
;
Nurbapa Mekebayev
Mathematical simulation has significantly broadened with the advancement of parallel computing, particularly in its capacity to comprehend physical phenomena across extensive temporal and spatial dimensions. High-performance parallel computing finds extensive application across diverse domains of technology and science, including the realm of acoustics. This research investigates the numerical modeling and parallel processing of the two-dimensional acoustic wave equation in both uniform and non-uniform media. Our approach employs implicit difference schemes, with the cyclic reduction algorithm used to obtain an approximate solution. We then adapt the sequential algorithm for parallel execution on a graphics processing unit (GPU). Ultimately, our findings demonstrate the effectiveness of the parallel approach in yielding favorable results.
Цитирования (OpenAlex) 1Цитирования (OpenCitations) 1

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