Abstract
The properties of ontological models to reflect the conceptual view of a researcher on a certain subject area and uniquely determine its concept, structure, accumulate and reuse knowledge repeatedly and make it possible to widely use it in the educational process. However, the existing tools for constructing ontological models of ontology knowledge (Protégé in integration with OWLViz, OntoGraf, 3D Hyperbolyc, Tree, TODOS, etc.) only partially satisfy the needs of the educational process. The choice of a particular visualization method is specific and has its own characteristics depending on the task. When choosing visualization tools, it is important that they do not only help to effectively reflect all the information, but, at the same time, allow the user to perform easily various operations on ontologies. There is no single definite method that is universal. The article describes the author’s web resource https://ontos.xyz, designed to create and visualize the hierarchical structure of subject areas using an ontograph, is implemented as a combination of content-containing concepts (vertices, nodes) and the relationships between these concepts. The authors determine the possibilities of using the ontological approach in the pedagogical process by the example of working with the web resource they created, which provides convenient use of ontologies. The article discusses examples of using ontologies to provide semantic annotation for collections of images, sound and other non-text objects; for the development of documentation of arbitrary volume; for building directories with the ability to support the surjective connection of objects (nodes); to simplify the performance of search work, etc. The purpose of the article is to reveal the features of the use of ontological structures for visualizing knowledge schemes and components of the operational management of information objects.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zupanc, K., Bosnić, Z.: Automated essay evaluation with semantic analysis. Knowl.-Based Syst. 120, 118–132 (2017). https://doi.org/10.1016/j.knosys.2017.01.006
Kovalenko, O., Bondarenko, T., Kovalenko, D.: Evaluation automation of achievement tests validity based on semantic analysis of training texts. In: Auer, M., Tsiatsos, T. (eds.) The Challenges of the Digital Transformation in Education. ICL 2018. Advances in Intelligent Systems and Computing, vol. 917, pp. 485–492. Springer, Cham (2019)
Van Heijst, G., Schreiber, A.T., and Wielinga, B.J.: Using explicit ontologies in kbs development. Int. J. Hum. Comput. Stud. (1996). (in press)
Evgenev, G.B.: Ontological methodology for creating textbooks. Eng. Bull. 09, 1011–1014 (2014). http://ainjournal.ru/doc/738319.html
Norenkov, I.P.: Intelligent technologies based on ontologies. Inf. Technol. 1, 17–24 (2010)
Palagin, A.V., Yakovlev, Yu.S.: System integration of computer technology, 680 p. UNIVERSUM, Vinnitsa (2005)
Katifori, C.: Halatsis. Ontology visualization methods – a survey. ACM Comput. Surv. (CSUR). 39(4) (2007). https://www.dit.unitn.it/~p2p/RelatedWork/Matching/a10-katifori.pdf
Greger Sergey Eduardovich: Editor of the Ontological System Metamodel. Object Systems. No. 1(6) (2012). https://cyberleninka.ru/article/n/redaktor-metamodeli-ontologicheskoy-sistemy
Nesterenko, O., Trofymchuk, O.: Patterns in porming the ontologybased environment of informationanalytical activity in administrative management. Inf. Technol. Manage. Syst. Ind. 5(2(101)) (2019). https://journals.uran.ua/eejet/article/view/180107/182267
Velychco, V.Yu., Popova, M.A., Prikhodnyuk, V.V., Stryzhak, O.E.: TODOS – IT-platform for the formation of transdisciplinary information environments. Weapons Syst. Milit. Equip. 1(49), 10–19 (2017). http://www.hups.mil.gov.ua/periodic-app/article/17563
Guraliuk, A.G., Rostoka, M.L.: Modern means of visualization of subject ontologies on adaptive principles. Adapt. Manage.: Theory Pract. Pedag. 4(7) (2018). https://amtp.org.ua/index.php/journal/article/download/10/6/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Rostoka, M., Guraliuk, A., Kuzmenko, O., Bondarenko, T., Petryshyn, L. (2021). Ontological Visualization of Knowledge Structures Based on the Operational Management of Information Objects. In: Auer, M.E., Rüütmann, T. (eds) Educating Engineers for Future Industrial Revolutions. ICL 2020. Advances in Intelligent Systems and Computing, vol 1329. Springer, Cham. https://doi.org/10.1007/978-3-030-68201-9_82
Download citation
DOI: https://doi.org/10.1007/978-3-030-68201-9_82
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-68200-2
Online ISBN: 978-3-030-68201-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)