O.V. Nesterenko, I.E. Netesin
Èlektron. model. 2022, 44(4):105-120
A new methodological approach to the terminological systematics and support of the conceptual apparatus based on the electronic glossary is proposed. A metamodel of data and a glossary structure using the conceptual apparatus of set theory have been developed. A formalized description of procedures, as well as technology (methodology) of expert content and support of e-glossary content is given. Decision-making criteria have been developed for use by experts in including terms in the glossary and searching for their definitions. In contrast to the procedure for forming the terminological resources of existing e-glossaries, the approval voting algorithm of experts for evaluation and selection of the "best" options for determining the terms of the e-glossary has been implemented. Possibilities of web tools of support of technology of expert filling and support of e-glossary are shown. The proposed tools are universal and can be used in various fields. Further development of the methodological apparatus of the e-glossary is associated with the construction of an ontological model of the subject area, which will help experts to determine consistent terms for each concept and relationship, as well as for interrelated terms.
terminological resource, glossary, expert voting, web tools.
- Nesterenko, O. and Trofymchuk, O. (2019), “Patterns in forming the ontology-based environment of information-analytical activity in administrative management”, Eastern-European Journal of Enterprise Technologies, 5/2, no. 101, рp. 33-42.
- Lupenko, S.A., Pasichnyk, V.V. and Kunanets, N.E. (2019), “Axiomatic-deductive strategy for IT discipline content formation”, Information Technologies and Learning Tools, 73, no. 5, pp. 149-160.
- Navigli, R. and Velardi, P. (2007), “GlossExtractor: A web application to automatically create a domain glossary”, Proceedings of the 10th Congress of the Italian-Association-for-Artificial-Intelligence. Artificial intelligence and human-oriented computing, 4733, pp. 339-349.
- Kulchytskyi, I.M. (2009), “Electronic glossary of archival science”, IInformatsiyni systemy ta merezhi, Vol. 653, no. 1, pp. 148-156.
- Fabrychna, Y. (2017), “Bilingual e-glossary of foreign languages and cultures teaching”, Proceedings of the 12th International Conference on Open Education as a Way to a Knowledge Society (DisCo). Microsoft, Prague, Czech Republic, June 26-27, 2017, pp. 264-
- Plechko, A., Chukhno, T., Nikolaieva, T., Apolonova, L. and Leleka, T. (2022), “Anglicisms in the Field of Information Technology: Analysis of Linguistic Features”, International Journal of Computer Science and Network Security, Vol. 22, no. 4, pp. 183–92, available at: https://doi.org/10.22937/IJCSNS.2022.22.4.23.
- Elgendi, E. and Shaffer, C.A. (2020), “Dynamic concept maps for etextbook glossaries: design and evaluation”, Frontiers in computer science, 2.
- Jordan, I., Heil, E. and Keding, G. (2021), “Uniform access to technical terms in nutritional and agricultural sciences. Research projects: an interactive glossary”, Ernahrungs umschau, 68, no. 10, pp. M572-M577.
- Nesterenko, O., Netesin, I., Polischuk, V. and Selin, Y. (2021), “Multifunctional Methodology of Expert Evaluation Alternatives in Tasks of Different Information Complexity”, Proceedings of 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT), 226-231.
- Shyrokov, V.A. (2005), Elementy leksykohrafiyi [Elements of lexicography], Dovira, Kyiv, Ukraine.
- Hnatiienko, H.M. and Snytiuk, V.Ie. (2008), Ekspertni tekhnolohiyi pryynyattya rishen [Expert decision making technologies], Kyiv, Ukraine.