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OPTIMIZING THE CONTENT OF THE ABSTRACT DATABASE «UKRAYINIKA NAUKOVA»

1 S.E. KYRYLENKO

https://orcid.org/0000-0001-8671-1652

1 Vernadsky Nаtional Library of Ukraine

Nauka naukozn. 2019, 4(106): 68-78

https://doi.org/10.15407/sofs2019.04.068

Section: Scientometrics

Language: Ukrainian

Abstract: Advantages of modern intellectual library technology for optimization of content of the abstract database «Ukrayinika naukova» are substantiated. It is noted that modern web-sites constantly require updating of information, otherwise they cease to be relevant for the target audience, with the attention drawn to regular updating of web pages of the abstract database «Ukrayinika naukova». The contribution of the intellectual library technology to organization of information search in the abstract database «Ukrayinika naukova» is considered. The regularities of improving the relevance of search of text documents with emphasis on semantic search are analyzed in order to expand the effective information services of the national abstracting system. It is proposed to use the abstract database «Ukrayinika naukova» for information support for advanced R&D fields. Methods for search for textual scientific documents are identified, search models are characterized, selection criteria are outlined, and semantic search is emphasized. Attention is paid to improving the search quality of text documents.

Conclusions. Semantic search in the abstract database «Ukrayinika naukova» by use of the context search function «find similar» is able to better satisfy the user needs for targeted search. It is determined that the abstract database «Ukrayinika naukova» meets all the requirements of information support for advanced R&D fields. It is established that the depth of semantic content of the abstract database «Ukrayinika naukova» has positive effect for ranking of the web-site of the Vernadsky Nаtional Library of Ukraine by Google Search engine. It is stated that the metadata of a publication refereed in the abstract database «Ukrayinika naukova» will appear on the first page when searched by Google, with obtaining a bibliometric portrait of the publication in Google Scholar.

Keywords: text document, search, relevance, semantic method, abstract database «Ukrayinika naukova».

REFERENCES

1.Konoval, L.V. (2017). Vplyv etapiv rozvytku veb-tekhnolohii na modeli bibliotechno-informatsiinoho obsluhovuvannia [The influence of the phases of web-technologies design on the models of library and information services] Library Science. Record Studies. Informology, 3, 44–49 [In Ukrainian].

2.Harahulia, S.S., Samokhina, N.F. (2014) Opratsiuvannia tsyfrovykh resursiv: svitovyi kontekst i bibliotechna praktyka [Processing of digital resources: world context and library practice]. Transactions of V.I. Vernadsky Nаtional Library of Ukraine, 40, 133–146 [in Ukrainian].

3.Kirilenko, S.E. (2015). A scientometric analysis of science and technology information on energy issues using the abstract database “Ukrayinika naykova”. Transactions of V.I. Vernadsky Nаtional Library of Ukraine, 42, 233–248 [in Ukrainian].

4.The abstract database “Ukrayinika naukova”. Retrieved from http://www.nbuv.gov.ua/data_base/ [in Ukrainian].

5.Rybachuk, V.P. (2012). Applications of the scientometric analysis for predicting the areas of science and technology advancement: methodological problems. Science and science of science, 1, 36–45 [in Ukrainian].
6.Lobuzina, K.V., Halytska, S.V., Orieshyna, N.O. (2017). Adapting the linguistic resources of the scientific library to the requirements of the Internet environment and international standards. Library bulletin, 4, 3–8 [in Ukrainian].

7.Lobuzina, K.V. (2015). Library and semantic web technologies as tools for organizing access to scientific periodicals. The Ukrainain science in the global information space, 11, 75–80 [in Ukrainian].

8.Guz, A.N., Ruschitskiy, Ya.Ya. (2013). Analysis of different options of bibliometric estimates for scientific journals and scientists. Applied mechanics, 3(49), 15–48 [in Ukrainian]. https://doi.org/10.1007/s10778-013-0566-x

9.Kostenko, L.Y. (2013). The visibility of the Ukrainian scientific periodicals in Internet. The Ukrainain science in the global information space, 8, 27–33 [in Ukrainian].

10.Horovyi, V.M. (2015). National information processes in the conditions of globalization. O.S. Onyshchenko (Ed.). Kyiv: NAS of Ukraine, V.I. Vernadsky Nаtional Library of Ukraine [in Ukrainian].

11.Harahulia, S. (2015). The models of integration of electronic sources of scientific information in libraries. Library bulletin, 6, 16–21 [in Ukrainian].

12.Mryhlod, I.M., Mryhlod, O.I. (2013). Domestic scientific periodicals: general analysis, trends and problems. The Ukrainain science in the global information space, 8, 37–53 [in Ukrainian].

13.Kirilenko, S.E. (2014). Creating a flow of science and technology information in the field “Modeling and optimization technologies” by use of the abstract database “Ukrayinika naykova”. The Ukrainain science in the global information space, 10, 53–59 [in Ukrainian].

14.Dobrovska, S.V., Kirilenko, S.E., Balahura, I.V. (2012). “Information technologies” in the abstract database “Ukrainika naukova”. Library bulletin, 4(210), 12–17 [in Ukrainian].

15.Eismont, Yu.V. (2017) The work of an editor with a scientific text: the specifics of editorial reading (based on materials of the abstract journal “Dzherelo”). Bulletin of Book Chamber, 11, 26–28 [in Ukrainian].

16.Hrytsenko, N., Kliushnikova, O., Sandul, O. (2018). Abstract databases as part of information support of education and R&D. Transactions of V.I  Vernadsky Nаtional Library of Ukraine, 50, 308–320 [in Ukrainian]. DOI: https://doi.org/10.15407/np.50.308https://doi.org/10.15407/np.50.308

17.Kushniretska, O.I., Kushniretska, I.I., Berko, A.Yu. The semantic search and storage of data from the science and technology information system data. The institutional repository of Lviv National Polytechnic University “Lvivska Politekhnika”. Retrieved from http://ena.lp.edu.ua/bitstream/ntb/29786/1/30_310-318.pdf [in Ukrainian].

18.Tokman, M.V., Sokol, V.V., Lisna, N.S. (2012). Models and methods for improving the relevance of search for text documents. Information processing systems, 5(103), 109–113. [in Ukrainian].

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