Formation of Search Queries Based on Thesaurus of Narrowly Specialized Subject Areas

• Autorzy: Matsiuk H. , Rzheuskyi A. , Kunanets N. , Veretennikova N.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

search queries; thesaurus; narrowly; specialized subject area; information support; scientific; research; selective dissemination of information

• Wydawca: Polish Academy of Sciences, Branch in Lublin
• Czasopismo: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
• Rocznik: 2019
• Tom: Vol. 8, No 3
• Strony: 11--14
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Matsiuk H.

• Department of Social Communication and Information Activities Ternopil Ivan Puluj National Technical University Ternopil, Ukraine

autor

Rzheuskyi A.

• Information Systems and Networks Department Lviv Polytechnic National University Lviv, Ukraine

autor

Kunanets N.

• Information Systems and Networks Department Lviv Polytechnic National University Lviv, Ukraine

autor

Veretennikova N.

• Information Systems and Networks Department Lviv Polytechnic National University Lviv, Ukraine

Bibliografia

• 1. Morkovkin, V. V. 1970. Ideograficheskie slovari [Ideographic dictionaries], Moscow, Russia: Izd-vo MHU. [In Russian].
• 2. Gorodishcheva 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, N. Kunanets, and V. Kut. 2017. The analysis of the United States of America universities library information services with benchmarking and pairwise comparisonsmethods”, in: 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), vol. 1, pp. 417-420. Lviv, Ukraine.
• 5. Rzheuskyi, N. Kunanets, and V. Kut 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, M. Nazaruk, V. Pasichnyk, N. Veretennikova, and N. Kunanets, “Information technologies of modelling 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, N. Veretennikova, N. Kunanets, and V. Kut, “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]. Universytetu Imeni Ivana Franka, 38, 90-93. [In Ukrainian].

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).