Control Systems and Computers

https://doi.org/10.15407/csc.2020.05.017

Control Systems and Computers, 2020, Issue 5 (289), pp. 17-33.

УДК 004.318

Palagin Оlexander V., Academician of NAS of Ukraine (Computer Science), Professor, Doctor of Technical Sciences (Computers, Systems and Networks), deputy director of V.M. Glushkov Institute of Cybernetics, The National Academy of Sciences of Ukraine, Glushkovave., 40, Kyiv, 03187, Ukraine, palagin_a@ukr.net.

Petrenko Мykola G., Doctor of Technical Sciences, Leading Researcher, Microprocessor Technology Department, V.M. Glushkov Institute of Cybernetics, The National Academy of Sciences of Ukraine, Glushkovave., 40, Kyiv, 03187, Ukraine, petrng@ukr.net, https://orcid.org/0000-0001-6440-0706

KNOWLEDGE-ORIENTED TOOL COMPLEX PROCESSING DATABASES OF SCIENTIFIC PUBLICATIONS

Introduction. Nowadays, numerous applications and tools are known that implement information retrieval technologies in various text sources in accordance with specified parameters. Moreover, the search results are provided to the user for each search parameter individually and not related to each other. And the application of Semantic Web technologies for the purpose of multi-parameter and related information retrieval in various sources in Ukraine is at the initial stage of development. A separate problem is the multimedia presentation of search results and their comparison with the conceptual structure of the domain of interest (Knowledge Domain) with the goal of extracting new knowledge. From this point of view, it is relevant for scientific research to process the scientific publications of one author, authors of a scientific unit and the academic institute as a whole, using the Semantic Web technologies, multimedia presentation of information, and effective support for the process of extracting new knowledge.

Purpose. Designing the architecture and functioning algorithms of the instrumental complex for processing databases of scientific publications, as well as developing examples of using a formal description of a scientific article with a number of queries.

Methods. The methods and models used in this work are based on Semantic Web information technologies focused on the development and use of subject ontologies. Ontologies are the basic components of these technologies both for conducting scientific research and creating large databases, including scientific publications of the authors.

Results. The architecture of the instrumental complex for processing databases of scientific publications and the algorithms for its functioning at the preparatory and main stages have been developed. Examples of queries to the database of scientific publications that demonstrate the performance of IR are given.

Conclusion. The article discusses the architecture of the instrumental complex for processing databases of scientific publications and the algorithms for its functioning at the preparatory and main stages. The steps of the preparatory phase, which are implemented by the knowledge engineer, are examined in detail. At the same time, the creation of two ontology models of the scientific article with the presentation of the corresponding ontographs was highlighted: the CRF-model describes the concepts contained in the article, and the OWL-model describes the structural components of the article. In conclusion, examples of queries to the databases of scientific publications are presented, demonstrating the performance of the instrumental complex.

Further, it is necessary to expand the use in the development of IR technologies, such as cognitive semantics and graphics, multimedia presentation of information, focused on the effective support of the processes of extraction and/or generation of new knowledge.

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Keywords: ontology, Semantic Web technologies, database of scientific publications.

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Received 24.06.2020