Publication: Complex Objects Identification and Analysis Mechanisms
Дата
2021
Авторы
Ulizko, M.
Tukumbetova, R.
Tretyakov, E.
Pronicheva, L.
Artamonov, A.
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© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.Currently the volume of information on the Internet global network is inclined to increase. It affects various areas of activity. The paper presents the issue of identifying and analyzing complex objects in the context of information sources devoted to project activity of the US National Institutes of Health (NIH). As part of the solution to the problem, information sources relevant to the provided topic were found, and the data were downloaded with the use of agent techniques. The methods of primary analysis and data processing were developed to create a data storage structures in SQL and NoSQL models. The analysis of the presented database models was conducted, their advantages and disadvantages were revealed. As a result software tools have been developed that provide data representation of a complex object and organization of work with it by web interface.
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Complex Objects Identification and Analysis Mechanisms / Ulizko, M. [et al.] // Advances in Intelligent Systems and Computing. - 2021. - 1310. - P. 517-526. - 10.1007/978-3-030-65596-9_63