Ontological system processing of databases of scientific publications

O.V. Palagin, N.G. Petrenko, M.O. Boyko


Development of theories, methods and algorithms for the discovery and formation of new knowledge always was one of the most important tasks for any researcher, especially if they actively working on creation of new scientific publications. There is no universal language to describe formally concepts (knowledge) and systemology of transdisciplinary scientific research. Because of this, researchers have a set of urgent problems, and one of them is the way of speeding up the process of finding information (in the form of cognitive-structure) in their own sources. Ontological system for processing of databases of scientific publications created to solve this problem for a researcher, who have from tens to hundreds of scientific papers published. We are unaware of search systems, which would provide the same information for a researcher in such a short time. Ontological system implements technologies of Information Retrieval and Knowledge Discovery in Databases with accent on technologies and instruments such as Semantic Web and cognitive graphics. Development of such ontological system have three stages. On the first stage instruments for system development created, methods and algorithms of interaction between system components "User ¾ Knowledge engineer ¾ Remote endpoint", also data added to the system at this stage. On the second stage task of multimedia presentation for conceptual and figurative structures, described in scientific documents, solved. Gaining new knowl- edge problem solved on the third stage.

Prombles in programming 2022; 3-4: 161-170


transdisciplinary scientific research; semantic web technology; ontological engineering; scientific publications database

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PALAGIN, A.V., PETRENKO, N.G., Knowledge-oriented tool complex processing databases of scientific publications. Control systems and computers. 2020. №5. p. 17-33. CrossRef

PALAGIN, A.V., PETRENKO, N.G., VELYCHKO, V.YU., MALAKHOV, K.S. (2014) Development of formal models, algorithms, procedures, engineering and functioning of the software system "Instrumental complex for ontological engineering purpose". In: Proceed- ings of the 9th International Conference of Programming UkrPROG. CEUR Workshop Proceedings 1843. Kyiv, Ukraine, May 20-22, 2014. [Online] Available from: http://ceur-ws.org/Vol-1843/221-232.pdf [Accessed: 23 June 2022].

PALAGIN, A.V., KRYVYY, S. L. & PETRENKO, N. G. (2012). Ontological methods and means of processing subject knowledge. Lugansk: V.I. Dal East Ukr. Nac. University. CrossRef

PALAGIN, O.V., MALAKHOV, K.S., VELYCHKO, V.YU., SHCHUROV, O.S. (2017). Design and software implementation of the subsystem of creation and use of the ontological knowledge base of the scientific researcher's publications. Problems in programming. 2017. №2. p. 72-81. URL: http://dspace.nbuv.gov.ua/browse?value=%D0%92%D0%B5%D0%BB%D0%B8%D1%87%D0%BA%D0% BE,%20%D0%92%D0%AE.&type=author [Accessed: 22 June 2022].

PALAGIN, O.V., VELYCHKO, V.YU., MALAKHOV, K.S., SHCHUROV, O.S. (2020). Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach. In: Proceedings of the 12th International Scientific and Practical Conference of Programming UkrPROG 2020. CEUR Workshop Proceedings 2866. Kyiv, Ukraine, September 15-16, 2020. [Online] Available from: http://ceur-ws.org/Vol-2866/ceur_342-352palagin34.pdf [Accessed: 20 June 2022].

PALAGIN, A., PETRENKO, N. (2018) Methodological Foundations for Development, Formation and IT-support of Transdisciplinary Research. Journal of Automation and Information Sciences. 50(10). p. 1-17. CrossRef

KOTLYK, S. (Ed.) (2022). Transdisciplinary intelligent information and analytical system for the rehabilitation processes support in a pandemic. Iowa State University Digital Press. CrossRef

PALAGIN, A. Transdisciplinarity problems and the role of informatics. (2013). Cybernetics and Systems Analysis/ International Theo- retical Science Journal. 2013, № 5 - p.3-13. [Online] Available from: http://www.kibernetika.org/volumes/2013/numbers/ 05/articles/01/ ArticleDetailsEU.html [Accessed 20 June 2022].

PALAGIN, A. Architecture of ontology-driven computer systems. (2006). Cybernetics and Systems Analysis/ International Theoretical

Science Journal. 2006, № 2 - p.111-124. CrossRef

PALAGIN, A. An Introduction to the Class of the Transdisciplinary Ontology-controled Research Design Systems. (2016). Control systems and computers. 2016. № 6. p. 3-11. [Online] Available from: http://usim.org.ua/?page_id=3025〈=uk. [Accessed 24 June 2022]. CrossRef

PALAGIN, O.V., KURGAEV, O. P. Interdisciplinary scientific research: optimization of system and information support. (2009). Buletin of the National Academy of Sciences of Ukraine. 2009, № 3, p.14-25 . [Online] Available from: ftp://ftp.nas.gov.ua/akademperio- dyka/Downloads/Visnyk_NANU/downloads/2009/3/st3.pdf [Accessed: 23 June 2022].

PALAGIN, A.V., PETRENKO, N. G. & KRYVYY, S. L. (2015). On the construction of knowledge-oriented computer systems for scientific research. Control systems and computers. 2015. №2. p. 64-73. [Online] Available from: http://usim.org.ua/arch/2015/2/7.pdf [Accessed 22 June 2022].

BOOCH G., RUMBAUGH J., JACOBSON I. The Unified Modeling Language User Guide. (2005). Reading, MA, 2005. 475 p.

SCHMULLER D. Sams Teach Yourself UML in 24 Hours, Complete Starter Kit. М.: Williams, 2005. 416 с. ISBN 0-672-32640-X.

Leonenkov, А. V. Tutorial UML 2. St. Petersburg: BHV-Petersburg, 2007. 576 p. ISBN 978-5-94157-878-8.

https://jena.apache.org/documentation/fuseki2/(date of access: 23 June 2022).

BOB DUCHARME. Learning SPARQL. Querying and Updating with SPARQL 1.1 (Second edition). (2013) O'Reilly Media, All rights reserved, August 2013. 367р.

DOI: https://doi.org/10.15407/pp2022.03-04.161


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