Please use this identifier to cite or link to this item: http://ena.lp.edu.ua:8080/handle/ntb/49585
Title: Formation of search queries based on thesaurus of narrowly specialized subject areas
Authors: Matsiuk, H.
Rzheuskyi, A.
Kunanets, N.
Veretennikova, N.
Affiliation: Ternopil Ivan Puluj National Technical University
Lviv Polytechnic National University
Bibliographic description (Ukraine): Formation of search queries based on thesaurus of narrowly specialized subject areas / H. Matsiuk, A. Rzheuskyi, N. Kunanets, N. Veretennikova // Econtechmod. — Lviv : University of Engineering and Economics in Rzeszow, 2019. — Vol 8. — No 3. — P. 10–14.
Bibliographic description (International): Formation of search queries based on thesaurus of narrowly specialized subject areas / H. Matsiuk, A. Rzheuskyi, N. Kunanets, N. Veretennikova // Econtechmod. — Lviv : University of Engineering and Economics in Rzeszow, 2019. — Vol 8. — No 3. — P. 10–14.
Is part of: Econtechmod, 3 (8), 2019
Econtechmod, 3 (8), 2019
Journal/Collection: Econtechmod
Issue: 3
Volume: 8
Issue Date: 20-Mar-2019
Publisher: University of Engineering and Economics in Rzeszow
Place of the edition/event: Львів
Lviv
Keywords: search queries
thesaurus
narrowly specialized subject area
information support
scientific research
selective dissemination of information
Number of pages: 5
Page range: 10-14
Start page: 10
End page: 14
Abstract: The role of branch information retrieval thesaurus for improving and increasing the effectiveness of information support of scientific research, carried out using the technology of selective dissemination of information, is analyzed in the paper. The selective dissemination system provides both individual and group information needs, as subscribers can be individual users as well as a group of users, namely scientific teams and virtual scientific teams whose members can be geographically distributed. Within the scientific team, subgroups can be formed engaged in research of different directions of their subject area. The information retrieval thesaurus is considered as a language model of a particular subject area. The development of information technologies creates the possibility of information modeling of a narrowly specialized subject area and data presentation in the form of thesaurus, which is a hypertext that reflects the hierarchically organized semantic structure of a specific subject area.
URI: http://ena.lp.edu.ua:8080/handle/ntb/49585
Copyright owner: © Copyright by Lviv Polytechnic National University
© Copyright by University of Engineering and Economics in Rzeszow
References (Ukraine): 1. Morkovkin, V. V. 1970. Ideograficheskie slovari [Ideographic dictionaries], Moscow, Russia: Izd-vo MHU. [In Russian].
2. Gorodishcheva A. N., Gorodishchev A. V. 2011. Standards, specifications and features of the logicallinguistic terminology management systems, communications”. Science Prospects, 5 (20), pp. 62–65.
3. Hladun, A. Ya., Rohushyna, Yu. V. 2008. Osnovy metodolohii formuvannia tezaurusiv z vykorystanniam ontolohichnoho ta mereolohichnoho analizu [Fundamentals of the thesaurus creation methodology using ontological and mereological analysis]. Shtuchnyi Intelekt, 5, 112–124. [In Ukrainian].
4. Rzheuskyi A., Kunanets N., and Kut V. 2017. The analysis of the United States of America universities library information services with benchmarking and pairwise comparisons methods”, in: 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), vol. 1, pp. 417–420. Lviv, Ukraine.
5. Rzheuskyi A., Kunanets N., and Kut V. 2018. Methodology of research the library information services: the case of USA university libraries. Advances in Intelligent Systems and Computing, vol. 689, 2018, pp. 450–460.
6. Bomba A., Nazaruk M., Pasichnyk V., Veretennikova N., and Kunanets N. “Information technologies of modeling processes for preparation of professionals in smart cities”. Advances in Intelligent Systems and Computing book series, vol. 754, 2018, pp. 702–712.
7. Veretennikova N., Kunanets N. 2018. “Recommendation systems as an information and technology tool for virtual research teams”. Advances in Intelligent Systems and Computing, vol. 689, pp. 577–587.
8. Rzheuskyi A., Veretennikova N., Kunanets N, and Kut V. “The information support of virtual research teams by means of cloud managers. International Journal of Intelligent Systems and Applications (IJISA), 10(2), 2018, pp. 37–46.
9. Olifer, V., Olifer, N. (2009). Osnovy kompiuternykh setei [Basics of computer networks]. St. Petersburg, Russia. [In Russian].
10. Kaminskyi R., Kunanets N., Rzheuskyi A. 2018. Mathematical support for statistical research based on informational technologies. CEUR Workshop Proceedings, vol. 2105, pp. 449–452.
11. Shunevich, B. I. 2008. Suchasni sposoby vidboru terminiv ta ukladannia perekladnykh slovnykiv novykh terminosystem [Modern ways of selecting terms and making translated dictionaries of new terminology systems]. Visnyk Zhytomyrskoho Derzhavnoho Universytetu Imeni Ivana Franka, 38, 90–93. [In Ukrainian].
References (International): 1. Morkovkin, V. V. 1970. Ideograficheskie slovari [Ideographic dictionaries], Moscow, Russia: Izd-vo MHU. [In Russian].
2. Gorodishcheva A. N., Gorodishchev A. V. 2011. Standards, specifications and features of the logicallinguistic terminology management systems, communications". Science Prospects, 5 (20), pp. 62–65.
3. Hladun, A. Ya., Rohushyna, Yu. V. 2008. Osnovy metodolohii formuvannia tezaurusiv z vykorystanniam ontolohichnoho ta mereolohichnoho analizu [Fundamentals of the thesaurus creation methodology using ontological and mereological analysis]. Shtuchnyi Intelekt, 5, 112–124. [In Ukrainian].
4. Rzheuskyi A., Kunanets N., and Kut V. 2017. The analysis of the United States of America universities library information services with benchmarking and pairwise comparisons methods", in: 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), vol. 1, pp. 417–420. Lviv, Ukraine.
5. Rzheuskyi A., Kunanets N., and Kut V. 2018. Methodology of research the library information services: the case of USA university libraries. Advances in Intelligent Systems and Computing, vol. 689, 2018, pp. 450–460.
6. Bomba A., Nazaruk M., Pasichnyk V., Veretennikova N., and Kunanets N. "Information technologies of modeling processes for preparation of professionals in smart cities". Advances in Intelligent Systems and Computing book series, vol. 754, 2018, pp. 702–712.
7. Veretennikova N., Kunanets N. 2018. "Recommendation systems as an information and technology tool for virtual research teams". Advances in Intelligent Systems and Computing, vol. 689, pp. 577–587.
8. Rzheuskyi A., Veretennikova N., Kunanets N, and Kut V. "The information support of virtual research teams by means of cloud managers. International Journal of Intelligent Systems and Applications (IJISA), 10(2), 2018, pp. 37–46.
9. Olifer, V., Olifer, N. (2009). Osnovy kompiuternykh setei [Basics of computer networks]. St. Petersburg, Russia. [In Russian].
10. Kaminskyi R., Kunanets N., Rzheuskyi A. 2018. Mathematical support for statistical research based on informational technologies. CEUR Workshop Proceedings, vol. 2105, pp. 449–452.
11. Shunevich, B. I. 2008. Suchasni sposoby vidboru terminiv ta ukladannia perekladnykh slovnykiv novykh terminosystem [Modern ways of selecting terms and making translated dictionaries of new terminology systems]. Visnyk Zhytomyrskoho Derzhavnoho Universytetu Imeni Ivana Franka, 38, 90–93. [In Ukrainian].
Content type: Article
Appears in Collections:Econtechmod. – 2019. – Vol. 8, No. 3



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