{"id":1756,"date":"2019-12-02T16:07:33","date_gmt":"2019-12-02T14:07:33","guid":{"rendered":"https:\/\/sofs.org.ua\/?page_id=1756"},"modified":"2021-01-27T17:51:04","modified_gmt":"2021-01-27T15:51:04","slug":"1-6","status":"publish","type":"page","link":"https:\/\/sofs.org.ua\/en\/sample-page\/arhiv\/2018-2\/2019-4-106\/1-6\/","title":{"rendered":"1.6"},"content":{"rendered":"
OPTIMIZING THE CONTENT<\/strong> OF THE ABSTRACT DATABASE \u00abUKRAYINIKA NAUKOVA\u00bb<\/strong><\/p>\n 1<\/sup> S.E. KYRYLENKO Nauka naukozn. 2019, 4(106): 68-78 Section<\/strong>: Scientometrics Conclusions. Semantic search in the abstract database \u00abUkrayinika naukova\u00bb by use of the context search function \u00abfind similar\u00bb is able to better satisfy the user needs for targeted search. It is determined that the abstract database \u00abUkrayinika naukova\u00bb 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 \u00abUkrayinika naukova\u00bb has positive effect for ranking of the web-site of the Vernadsky N\u0430tional Library of Ukraine by Google Search engine. It is stated that the metadata of a publication refereed in the abstract database \u00abUkrayinika naukova\u00bb will appear on the first page when searched by Google, with obtaining a bibliometric portrait of the publication in Google Scholar.<\/p>\n Keywords: <\/strong>text document, search, relevance, semantic method<\/strong>, <\/strong>abstract database <\/strong>\u00ab<\/strong>Ukrayinika naukova<\/strong>\u00bb<\/strong>.<\/strong><\/p>\n REFERENCES <\/strong><\/p>\n
\n<\/strong>https:\/\/orcid.org\/0000-0001-8671-1652
\n<\/a>1<\/sup> Vernadsky N\u0430tional Library of Ukraine<\/p>\n
\nhttps:\/\/doi.org\/10.15407\/sofs2019.04.068<\/a><\/p>\n
\nLanguage<\/strong>: Ukrainian
\nAbstract<\/strong>: Advantages of modern intellectual library technology for optimization of content of the abstract database \u00abUkrayinika naukova\u00bb 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 \u00abUkrayinika naukova\u00bb. The contribution of the intellectual library technology to organization of information search in the abstract database \u00abUkrayinika naukova\u00bb 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 \u00abUkrayinika naukova\u00bb 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.<\/p>\n\n