Description:
[1] K. Kutzner, T. Schoormann, R. Knackstedt, Digital transformation in information systems
research: A taxonomy-based approach to structure the field, 26th European Conference
on Information Systems: Beyond Digitization - Facets of Socio-Technical Change, ECIS
2018 (2018) 1–18.
[2] D. Trcek, Driving digital transformation through e-government, CEUR Workshop Proceedings 2422 (2019) 263–273.
[3] O. Pinchuk, O. Sokolyuk, O. Burov, M. Shyshkina, Digital transformation of learning
environment: Aspect of cognitive activity of students, CEUR Workshop Proceedings 2433
(2019) 90–101.
[4] M. P. Leshchenko, A. M. Kolomiiets, A. V. Iatsyshyn, V. V. Kovalenko, A. V. Dakal, O. O.
Radchenko, Development of informational and research competence of postgraduate and
doctoral students in conditions of digital transformation of science and education, Journal
of Physics: Conference Series 1840 (2021) 012057. URL: https://doi.org/10.1088/1742-6596/
1840/1/012057. doi:10.1088/1742-6596/1840/1/012057.
[5] A. V. Pikilnyak, N. M. Stetsenko, V. P. Stetsenko, T. V. Bondarenko, H. V. Tkachuk, Comparative analysis of online dictionaries in the context of the digital transformation of
education, CEUR Workshop Proceedings (2020, in press).
[6] N. V. Morze, O. V. Strutynska, Digital transformation in society: key aspects for model
development, Journal of Physics: Conference Series (2021).
[7] S. M. S. Crus, M. L. M. Campos, M. Mattoso, A foundational ontology to support scientific
experiments, CEUR Workshop Proceedings 938 (2012) 144–155.
[8] S. Buddies, Science Buddies, 2019. URL: https:/www.sciencebuddies.org/.
[9] A. Titin-Snaider, S. Griebel, A. Nistor, À. Gras-Velázquez, Education policies in Europe.
Scientix observatory report, Technical Report, 2018.
[10] L. N. Soldatova, R. D. King, An ontology of scientific experiments, Journal of the Royal
Society Interface 3 (2006) 795–803. doi:10.1098/rsif.2006.0134.
[11] S. Woolgar, J. Lezaun, The wrong bin bag: A turn to ontology in science and technology
studies?, Social Studies of Science 43 (2013) 321–340. doi:10.1177/0306312713488820.
[12] R. Palma, O. Corcho, A. Gómez-Pérez, P. Haase, A holistic approach to collaborative
ontology development based on change management, Journal of Web Semantics 9 (2011)
299–314. URL: https://linkinghub.elsevier.com/retrieve/pii/S1570826811000503. doi:10.
1016/j.websem.2011.06.007.
[13] A. Bosca, M. Casu, M. Dragoni, A. Rexha, Modeling, managing, exposing, and linking
ontologies with a wiki-based tool, Proceedings of the 9th International Conference on
Language Resources and Evaluation, LREC 2014 (2014) 1668–1675.
[14] P. Y. Vandenbussche, G. A. Atemezing, M. Poveda-Villalón, B. Vatant, Linked Open
Vocabularies (LOV): A gateway to reusable semantic vocabularies on the Web, Semantic
Web 8 (2017) 437–452. doi:10.3233/SW-160213.
[15] M. Poveda-Villalón, A. Gómez-Pérez, M. C. Suárez-Figueroa, OOPS! (OntOlogy Pitfall Scanner!): An On-line Tool for Ontology Evaluation, International Journal on Semantic Web
and Information Systems 10 (2014) 7–34. URL: http://services.igi-global.com/resolvedoi/
resolve.aspx?doi=10.4018/ijswis.2014040102. doi:10.4018/ijswis.2014040102.
[16] A. Alobaid, D. Garijo, M. Poveda-Villalón, I. Santana-Perez, A. Fernández-Izquierdo,
O. Corcho, Automating ontology engineering support activities with OnToology,
Journal of Web Semantics 57 (2019). URL: https://doi.org/10.1016/j.websem.2018.09.003.
doi:10.1016/j.websem.2018.09.003.
[17] U. Yadav, G. S. Narula, N. Duhan, V. Jain, B. K. Murthy, Development and Visualization
of Domain Specific Ontology using Protege, Indian Journal of Science and Technology 9 (2016). doi:10.17485/ijst/2016/v9i16/88524.
[18] R. Poli, M. Healy, A. Kameas (Eds.), Theory and Applications of Ontology: Computer Applications, Springer Netherlands, Dordrecht, 2010. doi:10.1007/978-90-481-8847-5.
[19] J. Dupré, A process ontology for biology, Physiology News (2015) 33–34. URL: https:
//www.physoc.org/magazine-articles/a-process-ontology-for-biology/. doi:10.36866/
pn.100.33.
[20] B. Smith, Ontology (Science), Nature Precedings (2008). URL: http://www.nature.com/
articles/npre.2008.2027.1. doi:10.1038/npre.2008.2027.1.
[21] C. Ghidini, M. Rospocher, L. Serafini, Conceptual Modeling in Wikis: A Reference Architecture and a Tool, Proceedings of the 4th International Conference on Information,
Process, and Knowledge Management (eKNOW 2012) (2012) 128–135. URL: http://www.
thinkmind.org/index.php?view=article{&}articleid=eknow{_}2012{_}6{_}10{_}60015.
[22] R. Schäfermeier, A. Paschke, H. Herre, Ontology design patterns for representing context
in ontologies using aspect orientation, CEUR Workshop Proceedings 2459 (2019) 32–46.
[23] A. Paschke, R. Schäfermeier, OntoMaven - Maven-based ontology development and management of distributed ontology repositories, Advances in Intelligent Systems and Computing 626 (2018) 251–273. doi:10.1007/978-3-319-64161-4_12. arXiv:1309.7341.
[24] V. Shapovalov, Y. Shapovalov, Z. Bilyk, A. Atamas, R. Tarasenko, V. Tron, Centralized information web-oriented educational environment of Ukraine, CEUR Workshop Proceedings
2433 (2019) 246–255.
[25] Y. B. Shapovalov, V. B. Shapovalov, V. I. Zaselskiy, TODOS as digital science-support
environment to provide STEM-education, Proceedings of the 6th Workshop on Cloud
Technologies in Education (CTE 2018) 2433 (2019) 232–245. URL: http://ceur-ws.org/
Vol-2433/paper14.pdf.
[26] V. Velichko, M. Popova, Prikhodnyuk V., O. Y. Stryzhak, TODOS is an IT platform for the
formation of transdisciplinary information environments, Weapons systems and military
equipment 1 (2017) 10–19.
[27] M. Popova, O. Y. Stryzhak, Ontological interface as a means of presenting information
resources in the GIS environment, Scientific notes of the Taurida National University. V. I.
Vernadsky. 65 (2013) 127–135.
[28] M. Gruber, S. Eichstadt, J. Neumann, A. Paschke, Semantic Information in Sensor Networks: How to Combine Existing Ontologies, Vocabularies and Data Schemes to Fit a
Metrology Use Case, 2020 IEEE International Workshop on Metrology for Industry 4.0 and
IoT, MetroInd 4.0 and IoT 2020 - Proceedings (2020) 469–473. doi:10.1109/MetroInd4.
0IoT48571.2020.9138282.
[29] J. A. Qundus, S. Peikert, A. Paschke, AI supported Topic Modeling using KNIME-Workflows,
CEUR Workshop Proceedings 2535 (2020) 1–7.
[30] Y. B. Shapovalov, V. B. Shapovalov, V. I. Zaselskiy, TODOS as digital science-support
environment to provide STEM-education, Higher and secondary school pedagogy 52
(2019) 89–104.
[31] I. Slipukhina, S. Kuzmenkov, N. Kurilenko, S. Mieniailov, H. Sundenko, Virtual educational
physics experiment as a means of formation of the scientific worldview of the pupils,
CEUR Workshop Proceedings 2387 (2019) 318–333.
[32] Y. O. Modlo, S. O. Semerikov, P. P. Nechypurenko, S. L. Bondarevskyi, O. M. Bondarevska, S. T. Tolmachev, The use of mobile Internet devices in the formation of ICT component
of bachelors in electromechanics competency in modeling of technical objects, CEUR
Workshop Proceedings 2433 (2019) 413–428.
[33] Y. Modlo, Y. V. Yechkalo, S. O. Semerikov, V. V. Tkachuk, Using technology of augmented
reality in a mobile-based learning environment of the higher educational institution,
Naukovi zapysky, Seriia: Problemy metodyky fizyko-matematychnoi i tekhnolohichnoi
osvity 11 (2017) 93–100.
[34] K. Vlasenko, O. Chumak, I. Lovianova, D. Kovalenko, N. Volkova, Methodical requirements
for training materials of on-line courses on the platform "higher school mathematics
teacher", E3S Web of Conferences 166 (2020). doi:10.1051/e3sconf/202016610011.
[35] L. Petrenko, S. Kravets, O. Bazeliuk, L. Maiboroda, I. Muzyka, Analysis of the current state
of distance learning in the vocational education and training institutions, E3S Web of
Conferences 166 (2020). doi:10.1051/e3sconf/202016610010.
[36] V. V. Yahupov, V. Y. Kyva, V. I. Zaselskiy, The methodology of development of information
and communication competence in teachers of the military education system applying the
distance form of learning, CEUR Workshop Proceedings 2643 (2020) 71–81.
[37] O. Y. Stryzhak, V. Gorborukov, O. Franchuk, M. Popova, Ontology of the choice problem
and its application in the analysis of limnological systems, Ecological safety and nature
management (2014) 172–183.
[38] Larysa Globa, M. Kovalskyi, O. Y. Stryzhak, Increasing Web Services Discovery Relevancy
in the Multi-ontological Environment, Advances in Intelligent Systems and Computing
342 (2019) 335–345. doi:10.1007/978-3-319-15147-2.
[39] L. Globa, S. Sulima, M. Skulysh, S. Dovgyi, O. Stryzhak, Architecture and Operation
Algorithms of Mobile Core Network with Virtualization, in: Mobile Computing,
IntechOpen, 2020, pp. 1–22. URL: https://www.intechopen.com/books/mobile-computing/
architecture-and-operation-algorithms-of-mobile-core-network-with-virtualization.
doi:10.5772/intechopen.89608.
[40] Gorborukov V., O. Y. Stryzhak, O. Franchuk, V. B. Shapovalov, Ontological representation
of the problem of ranking alternatives, Mathematical modeling in economics 4 (2018)
49–69. doi:10.1017/CBO9781107415324.004. arXiv:arXiv:1011.1669v3.
[41] V. Ivanov, Y. B. Shapovalov, V. Stabnikov, A. I. Salyuk, O. Stabnikova, M. ul Rajput Haq,
Barakatullahb, Z. Ahmed, Iron-containing clay and hematite iron ore in slurry-phase
anaerobic digestion of chicken manure, AIMS Materials Science 6 (2019) 807–817.
[42] Y. Shapovalov, V. Shapovalov, F. Andruszkiewicz, N. Volkova, Analyzing of main trends of
STEM education in ukraine using stemua.science statistics, CEUR Workshop Proceedings
2643 (2020) 448–461.
[43] V. Shapovalov, A. Atamas, Z. Bilyk, Y. Shapovalov, A. Uchitel, Structuring augmented
reality information on the stemua science, CEUR Workshop Proceedings 2257 (2018) 75–86.
URL: http://ceur-ws.org/Vol-2257/paper09.pdf.