kaz29Вестник Казахстанско-Британского технического университетаHerald of the Kazakh-British Technical University1998-66882959-8109Казахстанско-Британский Технический Университетkaz29-217Research ArticleФИЗИКО-МАТЕМАТИЧЕСКИЕ И ТЕХНИЧЕСКИЕ НАУКИPHYSICAL, MATHEMATICAL AND TECHNICAL SCIENCESМЕТОДЫ ИНТЕГРАЦИИ ДАННЫХ В ИНФОРМАЦИОННЫХ СИСТЕМАХDATA INTEGRATION METHODS IN INFORMATION SYSTEMSСадирмековаЖ. Б.SadirmekovaZh.

докторант

ТусуповД. А.TussupovJ.

зав. кафедрой

СамбетбаеваM. A.SambetbayevaM.

доктор PhD, доцент

АлтынбековаЖ. Т.AltynbekovaZ. H.

ст. преподаватель

Евразийский Национальный университет им. Л.Н. ГумилеваКазахстанEurasian National University named after L.N. GumilevKazakhstanТаразский инновационно-гуманитарный университетКазахстанTaraz innovation and Humanities UniversityKazakhstan202010112021173165172Copyright © Садирмекова Ж.Б., Тусупов Д.А., Самбетбаева M.A., Алтынбекова Ж.Т., 20212021Садирмекова Ж.Б., Тусупов Д.А., Самбетбаева M.A., Алтынбекова Ж.Т.Sadirmekova Z., Tussupov J., Sambetbayeva M., Altynbekova Z.H.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.kbtu.edu.kz/jour/article/view/217

В соответствии с целью исследования первоочередной задачей является аналитический обзор существующих решений в области интеграции данных в единое информационное пространство, также необходимо отметить особенности, преимущества и недостатки применяемых архитектур интегрирующих систем. Это позволит выделить проблемы, связанные со структурной и семантической неоднородностью данных информационных систем, а также сформулировать подход к объединению информационных систем. В настоящее время мировые лидеры по разработке программного обеспечения представляют свои готовые решения по интеграции данных. Их рассмотрение дополнит исследование теоретических подходов и позволит выявить те направления, которые следует развивать и использовать при построении интегрируемых систем. Для решения проблемы семантической неоднородности информации при интеграции информационных систем предлагается использовать онтологии предметной области. Задача интеграции данных информационных систем в настоящей работе рассматривается как задача интеграции информации из разнородных информационных систем и ресурсов (репозиториев) с целью обеспечения единого представления данных. С целью корректной интеграции неоднородных информационных систем необходимо выяснить общность и различия онтологий, лежащих в их основе, а также согласовать неоднородные онтологические спецификации и далее осуществлять преобразование информации. Как следствие, обеспечивается совместная работа неоднородных информационных систем в контексте предметной области задачи на семантически значимом уровне. Анализ состояния исследования по согласованию онтологий показывает, что существующие методы, в основном, неформальны и основываются на субъективном мнении человека эксперта. До сих пор это исследовано недостаточно глубоко, преимущественно для частных случаев.

In accordance with the purpose of the study, the first task is to analyze the existing solutions in the field of data integration into a single information space.it is also necessary to note the features, advantages and disadvantages of the integration system architectures used. This will allow us to identify problems related to the structural and semantic heterogeneity of data in information systems, as well as formulate an approach to combining information systems. Currently, world leaders in software development are presenting their ready-made solutions for data integration. Their consideration will complement the study of theoretical approaches and will identify the areas that should be developed and used in the construction of integrated systems. To solve the problem of semantic heterogeneity of information in the integration of information systems, it is proposed to use ontologies of the subject area. The problem of integration of information systems data in this paper is considered as a problem of integration of information from heterogeneous information systems and resources (repositories) in order to ensure a unified representation of data. In order to correctly integrate heterogeneous information systems, it is necessary to find out the commonality and differences of the ontologies underlying them, as well as to agree on heterogeneous ontological specifications and further implement information transformation. As a result, heterogeneous information systems work together in the context of the subject area of the problem at a semantically significant level. Analysis of the state of research on the harmonization of ontologies shows that the existing methods are mostly informal and based on the subjective opinion of a human expert. So far, this has not been studied in sufficient depth, mainly for special cases.

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The authors declare that there are no conflicts of interest present.