Abstract
This paper presents methods of building ontologies, which are used in “ISTINA” current research information system (the name is the abbreviation for Russian equivalent of “Intellectual System for Thematic Investigation of Scientometrical Data”), used in Moscow State University and a number of other institutions. These methods include thematic analysis of scientific results present in the system; information search; context analysis of publications; a number of applications in the learning process, in particular, automatic generation of test suites and forming students’ individual learning trajectories. In the framework of the suggested approach, ontology elements (concepts and relations) are added by users of the system, which work in different branches of science, using the web editor to be described in the paper. These elements are stored in a relational database. The editor works on the client side and communicates with the server using the SPARQL query language and specially developed protocol for modifying the ontology. The concepts and relations between them may be verified by experts in the corresponding areas.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Afonin, S.A., Kozitsyn, A.S., and Shachnev, D.A., Software mechanisms for scientometrical data aggregation based on ontological representation of the relational database structure, Software Eng., 2016, vol. 7, no. 9, pp. 408–413.
Bogopolsky, G.A., Karpenko, D.S., Rauzina, S.Ye., Zarubina, T.V., and Tikhonova, T.A., Knowledge management within the medical university, Studies Health Technol. Inform., 2016, vol. 213, pp. 107–110.
Galiamova, E.V., Karpenko, A.P., and Sokolov, N.K., The method of the student conceptual knowledge evaluation in the intellectual learning computer system, Sci. Education, 2009, no.2.
Golomazov, D.D., Methods and tools for managing scientific information with ontologies, Cand. Sci. (Phys.-Math) Dissertation, Moscow: Moscow State University, 2012.
Lomonosov Moscow State University. The ISTINA website, 2017. https://istina.msu.ru/.
Sadovnichiy, V.A., Afonin, S.A., Bakhtin, A.V., Bukhonov, V.Yu., Vasenin, V.A., Gankin, G.M., Gasparyants, A.E., Golomazov, D.D., Itkes, A.A., Kozitsyn, A.S., Tumaykin, I.N., and Shapchenko, K.A., The Intellectual System of Thematic Investigation of Scientometrical Information (“ISTINA”), Moscow: Moscow State University, 2014.
Tikhonova, T.A., Sutyagin, P.V., and Rauzina, S.Ye., Ontologies in learning human anatomy in medical universities, Int. J. Exp. Ed., 2016, vol. 5, no. 3, pp. 277–280.
Vasenin, V.A., Afonin, S.A., Golomazov, D.D., and Kozitsyn, A.S., The intellectual system of thematic investigation of scientometrical information (istina), Inform. Soc., 2013, vols. 1–2, no. 03, pp. 21–36.
Zagorulko, Yu. and Zagorulko, G., Ontology-based technology for development of intelligent scientific internet resources, in Intelligent Software Methodologies, Tools and Techniques (Proc. of the 14th Int. Conf. SoMet 2015, Naples, 2015), Springer, 2015, pp. 227–241.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © Dmitry Shachnev, Dmitry Karpenko, 2018, published in Programmirovanie, 2018, Vol. 44, No. 1.
The article was translated by the authors.
Rights and permissions
About this article
Cite this article
Shachnev, D., Karpenko, D. Using Subject Area Ontology for Automating Processes in Sphere of Scientific Investigation and Education. Program Comput Soft 44, 15–22 (2018). https://doi.org/10.1134/S0361768818010061
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0361768818010061