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Methodology of designing computer ontology of subject discipline by future teachers-engineers
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| dc.contributor.author | Tsidylo, Ivan M. | |
| dc.contributor.author | Tereshchuk, Hryhorii V. | |
| dc.contributor.author | Kozibroda, Serhiy V. | |
| dc.contributor.author | Kravets, Svitlana V. | |
| dc.contributor.author | Savchyn, Tetiana O. | |
| dc.contributor.author | Naumuk, Iryna M. | |
| dc.contributor.author | Kassim, Darja A. | |
| dc.date.accessioned | 2019-09-14T17:31:58Z | |
| dc.date.available | 2019-09-14T17:31:58Z | |
| dc.date.issued | 2019-09-09 | |
| dc.identifier.citation | Tsidylo I. M. Methodology of designing computer ontology of subject discipline by future teachers-engineers [Electronic resource] / Ivan M. Tsidylo, Hryhoriy V. Tereshchuk, Serhiy V. Kozibroda, Svitlana V. Kravets, Tetiana O. Savchyn, Iryna M. Naumuk, Darja A. Kassim // Cloud Technologies in Education : Proceedings of the 6th Workshop on Cloud Technologies in Education (CTE 2018), Kryvyi Rih, Ukraine, December 21, 2018 / Edited by : Arnold E. Kiv, Vladimir N. Soloviev. – P. 217-231. – (CEUR Workshop Proceedings (CEUR-WS.org), Vol. 2433). – Access mode : http://ceur-ws.org/Vol-2433/paper13.pdf | uk |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3249 | |
| dc.identifier.uri | https://doi.org/10.31812/123456789/3249 | |
| dc.description | 1. Anikin, A.V.: Metod poiska i integratcii raznorodnykh raspredelennykh obrazovatelnykh resursov na osnove logicheskogo vyvoda na ontologii (A method for the search and integration of heterogeneous distributed educational resources based on the logical conclusion on the ontology). Dissertation, Volgograd State Technical University (2014) 2. Buyak, B.B., Tsidylo, I.M., Repskyi, V.I., Lyalyuk, V.P.: Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils. In: Kiv, A.E., Soloviev, V.N. (eds.) Proceedings of the 1st International Workshop on Augmented Reality in Education (AREdu 2018), Kryvyi Rih, Ukraine, October 2, 2018. CEUR Workshop Proceedings 2257, 112–121. http://ceurws.org/Vol-2257/paper13.pdf (2018). Accessed 30 Nov 2018 3. Chaplinskyi, Yu.P.: Ontolohichne predstavlennia protsesiv pryiniattia rishen (Ontological description of decision making processes). Problems of Informatization and Management 2(26), 146–150 (2009). doi:10.18372/2073-4751.2.6999 4. Dovhyi, S.O., Velychko, V.Yu., Hloba, L.S., Stryzhak, O.Ye., Andrushchenko, T.I.: Kompiuterni ontolohii ta yikh vykorystannia u navchalnomu protsesi. Teoriia i praktyka (Computer ontologies and their use in the educational process. Theory and practice). Instytut obdarovanoi dytyny, Kyiv (2013) 5. Faure, D., Nédellec, C., Rouveirol C.: Acquisition of Semantic Knowledge using Machine learning methods: The System “ASIUM”. Technical report number ICS-TR-88-16. https://pdfs.semanticscholar.org/19c8/fb4d1c782de0ee248b2a4a9b344392bf3995.pdf (1998). Accessed 21 Mar 2019 6. Gruber, T.R.: The role of common ontology in achieving sharable, reusable knowledge bases. In: Allen, J., Fikes, R., Sandewall, E. (eds.) Principles of Knowledge Representation and Reasoning, Proceedings of the Second International Conference (KR91), vol. 2, pp. 601–602. Morgan Kaufmann Publishers, San Mateo (1991) 7. Gruber, T.R.: Toward Principles for the Design of Ontologies Used for Knowledge Sharing? International Journal Human-Computer Studies 43(5–6), 907–928 (1995). doi:10.1006/ijhc.1995.1081 8. Kozibroda, S.V.: Prohramni zasoby rozrobky ontolohii u protsesi pidhotovky inzhenerivpedahohiv kompsiuternoho profiliu (Software tools of ontology development in training process of future engineers-teachers). Zbirnyk naukovyh prats “Pedahohichni nauky” 74(3), 175–180 (2016) 9. Lapshin, V.A.: Ontologiia v kompiuternykh sistemakh (Ontology in computer systems). Nauchnyi mir, Moscow (2010) 10. Liubchenko, V.V.: Modeli znanij dlia predmetnyh oblastei uchebnyh kursov (Knowledge models for subject areas of training courses). Iskusstvennyi intellekt 4, 458–462 (2008) 11. Lozynska, O.V., Davydov, M.V., Pasichnyk, V.V.: Mashynnyi pereklad na osnovi pravyl dlia perekladu na ukrainsku zhestovu movu (Machine translation based on the rules for translation in the Ukrainian sign language). Informatsiini tekhnolohii ta kompyuterna inzheneriia 29(1), 11–17 (2014) 12. Lytvyn, V.M., Pasichnyk, V.V., Yatsyshyn, Yu.V.: Intelektualni systemy (Intellectual systems). Novyi Svit – 2000, Lviv (2013) 13. Lytvyn, V.V.: Metody ta zasoby inzhenerii danykh ta znan (Methods and tools for data and knowledge engineering). Mahnoliia-2006, Lviv (2012) 14. Markova, O., Semerikov, S., Popel, M.: CoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. In: Ermolayev, V., Suárez-Figueroa, M.C., Yakovyna, V., Kharchenko, V., Kobets, V., Kravtsov, H., Peschanenko, V., Prytula, Ya., Nikitchenko, M., Spivakovsky A. (eds.) Proceedings of the 14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer (ICTERI, 2018), Kyiv, Ukraine, 14- 17 May 2018, vol. II: Workshops. CEUR Workshop Proceedings 2104, 338–403. http://ceur-ws.org/Vol-2104/paper_204.pdf (2018). Accessed 30 Nov 2018 15. McGuinness, D.L, Fikes, R., Hendler, J.A., Stein, L.A.: DAML+OIL: An Ontology Language for the Semantic Web. IEEE Intelligent Systems 17(5), 72–80 (2002). doi:10.1109/MIS.2002.1039835 16. Morentsova, A.V.: Vykorystannia ontolohii predmetnoi oblasti dlia usunennia neodnoznachnostei pry kompiuternomu perekladi tekhnichnykh tekstiv (Using the ontology of the subject area to eliminate ambiguities in the computer translation of technical texts). In: Aktualni pytania suchasnoi nauky, ІІІ Mizhnarodna naukovo-praktychna internetkonferentsia: tezy dopovidei, Dnipro, 30 sichnia 2018 r., pp. 82–87. http://www.kamts1.kpi.ua/sites/default/files/files/morentsova_vykorystannya.pdf (2018) 17. Nirenburg, S., Raskin, V.: Ontological Semantics. MIT Press, Cambridge (2004) 18. Noy, N.F., McGuinness, D.L.: Ontology Development 101: A Guide to Creating Your First Ontology. https://protege.stanford.edu/publications/ontology_development/ontology101.pdf (2001). Accessed 24 Aug 2018 19. Orfan, J., Allen, J.: Learning New Relations from Concept Ontologies Derived from Definitions. In: Logical Formalizations of Commonsense Reasoning: Papers from the 2015 AAAI Spring Symposium, Stanford University, March 23–25, 2015, pp. 126–129. https://www.aaai.org/ocs/index.php/SSS/SSS15/paper/viewFile/10322/10084 (2015) 20. Ovdei, O.M., Proskudina, G.Iu.: Obzor instrumentov inzhenerii ontologii (Ontology engineering tool overview). Elektronnye biblioteki 7(4). https://web.archive.org/web/20050424145056/http://www.elbib.ru/index.phtml?page=elbi b/rus/journal/2004/part4/op (2004). Accessed 21 Mar 2018 21. Palahin, O.V., Petrenko, M.H.: Model katehorialnoho rivnia movno-ontolohichnoi kartyny svitu (The model of the world language ontological сategorial level). Matematychni mashyny i systemy 3, 91–104 (2006) 22. Popova, M.A., Stryzhak, O.Ye.: Ontolohichnyi interfeis iak zasib predstavlennia informatsiinykh resursiv v HIS-seredovyshchi (Ontological interface as a means of representing information resources in the geoinformation environment). Uchenye zapiski Tavricheskogo natcionalnogo universiteta imeni V.I. Vernadskogo, Seriia: Geografiia 26(65)(1), 127–135 (2013) 23. Raskin, V., Taylor, J.M., Hempelmann, C.: Meaning- and ontology-based technologies for high-precision language an information-processing computational systems. Advanced Engineering Informatics 27(1), 4–12 (2013). doi:10.1016/j.aei.2012.12.002 24. Semerikov, S.O., Teplytskyi, I.O., Yechkalo, Yu.V., Kiv, A.E.: Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. In: Kiv, A.E., Soloviev, V.N. (eds.) Proceedings of the 1st International Workshop on Augmented Reality in Education (AREdu 2018), Kryvyi Rih, Ukraine, October 2, 2018. CEUR Workshop Proceedings 2257, 122–147. http://ceur-ws.org/Vol-2257/paper14.pdf (2018). Accessed 30 Nov 2018 25. Semerikov, S.O., Teplytskyi, I.O., Yechkalo, Yu.V., Markova, O.M., Soloviev, V.N., Kiv, A.E.: Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back. In: Ermolayev, V., Mallet, F., Yakovyna, V., Kharchenko, V., Kobets, V., Korniłowicz, A., Kravtsov, H., Nikitchenko, M., Semerikov, S., Spivakovsky, A. (eds.) Proceedings of the 15th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer (ICTERI, 2019), Kherson, Ukraine, June 12-15 2019, vol. II: Workshops. CEUR Workshop Proceedings 2393, 833–848. http://ceur-ws.org/Vol-2393/paper_348.pdf (2019). Accessed 30 Jun 2019 26. Spirin, O.M.: Pochatky shtuchnoho intelektu (The beginnings of artificial intelligence). Vyd. ZhDU im. I. Franka, Zhytomyr (2004) 27. Stryzhak, O.Ye., Popova, M.A., Liashuk, K.V.: Metodyka stvorennia ontolohichnoho interfeisu u seredovyshchi WEB-portalu (Creation method of ontologicall interface in webportal). Radioelektronni i kompiuterni systemy 2, 78–84 (2014) 28. Stryzhak, O.Ye.: Ontolohichnyi pidruchnyk – paradyhma formuvannia interaktyvnoi systemy znan u navchalnomu protsesi (Ontological textbook – a paradigm for the formation of an interactive knowledge system in the educational process). Kompiuter u shkoli ta simi 7, 7–16 (2016) 29. Tsidylo, I.M., Kozibroda, S.V.: Systems of computer ontologies as a means of forming the designing competencies of future engineers-teachers. Information Technologies and Learning Tools 63(1), 251–265 (2018). doi:10.33407/itlt.v63i1.1838 30. Tsidylo, I.: Semantic ontology model of the content module of the course “Intelligent technologies of decision-making management”. Problemy Profesjologii 1, 131–139 (2014) 31. Tsidylo, I.M.: Pidhotovka inzhenera-pedahoha do zastosuvannia intelektualnykh tekhnolohii u profesiinii diialnosti (Training of the engineer-teacher to the application of intellectual technologies in professional activity). Vektor, Ternopil (2014) 32. Yevseieva, O.H.: Modeliuvannia navchalnoi predmetnoi oblasti (Modeling of Teaching Subject Domain). Shtuchnyi intelekt 1, 79–86 (2009) 33. Zagorulko, Iu.A., Borovikova, O.I.: Tekhnologiia postroeniia ontologii dlia portalov znanii po gumanitarnym naukam. In: Trudy Vserossiiskoi konferentcii s mezhdunarodnym uchastiem “Znaniia-Ontologii-Teorii” (ZONT-07), Novosibirsk, 2007, vol. 1, pp. 191–200 (2007) | |
| dc.description.abstract | The article deals with the problem of the methodology of designing computer ontology of the subject discipline by the future teachers-engineers in the field of computer technologies. The scheme of ontology of the subject discipline is presented in which the set of concepts of the future computer ontology and the set of relations between them are represented. The main criteria of the choice of systems of computer ontologies for designing computer ontology of the subject discipline: software architecture and tools development; interoperability; intuitive interface are established. The selection of techniques for designing ontologies using computer ontology systems is carried out. The algorithm of designing computer ontology of the subject discipline by the future teachers-engineers in the field of computer technologies is proposed. | uk |
| dc.language.iso | en | uk |
| dc.publisher | Arnold E. Kiv, Vladimir N. Soloviev | uk |
| dc.subject | computer ontology | uk |
| dc.subject | knowledge representation | uk |
| dc.subject | subject field | uk |
| dc.subject | educational discipline | uk |
| dc.subject | model | uk |
| dc.subject | teacher-engineer | uk |
| dc.subject | designing | uk |
| dc.title | Methodology of designing computer ontology of subject discipline by future teachers-engineers | uk |
| dc.type | Article | uk |
