{"id":1468,"date":"2021-01-16T17:19:39","date_gmt":"2021-01-16T15:19:39","guid":{"rendered":"http:\/\/journals.khnu.km.ua\/vestnik\/?p=1468"},"modified":"2021-04-14T14:47:39","modified_gmt":"2021-04-14T11:47:39","slug":"%d1%96%d0%bd%d1%84%d0%be%d1%80%d0%bc%d0%b0%d1%86%d1%96%d0%b9%d0%bd%d0%b0-%d1%82%d0%b5%d1%85%d0%bd%d0%be%d0%bb%d0%be%d0%b3%d1%96%d1%8f-%d1%80%d0%b5%d0%ba%d1%83%d1%80%d1%81%d0%b8%d0%b2%d0%bd%d0%be%d0%b3","status":"publish","type":"post","link":"https:\/\/journals.khnu.km.ua\/vestnik\/?p=1468","title":{"rendered":"\u0406\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u0439\u043d\u0430 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u044f \u0440\u0435\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u043e\u0433\u043e \u043f\u043e\u0448\u0443\u043a\u0443 \u043a\u043b\u044e\u0447\u043e\u0432\u0438\u0445 \u0442\u0435\u0440\u043c\u0456\u043d\u0456\u0432 \u0443 \u0446\u0438\u0444\u0440\u043e\u0432\u0438\u0445 \u0442\u0435\u043a\u0441\u0442\u0430\u0445"},"content":{"rendered":"<p style=\"text-align: center;\">\u0406\u041d\u0424\u041e\u0420\u041c\u0410\u0426\u0406\u0419\u041d\u0410 \u0422\u0415\u0425\u041d\u041e\u041b\u041e\u0413\u0406\u042f \u0420\u0415\u041a\u0423\u0420\u0421\u0418\u0412\u041d\u041e\u0413\u041e \u041f\u041e\u0428\u0423\u041a\u0423 \u041a\u041b\u042e\u0427\u041e\u0412\u0418\u0425 \u0422\u0415\u0420\u041c\u0406\u041d\u0406\u0412 \u0423 \u0426\u0418\u0424\u0420\u041e\u0412\u0418\u0425 \u0422\u0415\u041a\u0421\u0422\u0410\u0425<\/p>\n<p style=\"text-align: center;\">INFORMATION TECHNOLOGY FOR RECURSIONAL DEFINITION OF KEY TERMS IN DIGITAL TEXTS<\/p>\n<p><a href=\"http:\/\/journals.khnu.km.ua\/vestnik\/wp-content\/uploads\/2021\/01\/32-6.pdf\"><img src=\"http:\/\/journals.khnu.km.ua\/vestnik\/wp-content\/uploads\/2021\/01\/pdf.png\" \/><\/a> <strong>\u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 188-196. \u041d\u043e\u043c\u0435\u0440: \u21163, 2019 (273)<\/strong><br \/>\n<strong>\u0410\u0432\u0442\u043e\u0440\u0438:<\/strong><br \/>\n\u041e.\u0412. \u041c\u0410\u0417\u0423\u0420\u0415\u0426\u042c, \u041e.\u041e. \u041a\u041e\u0412\u0410\u041b\u042c<br \/>\n\u0425\u043c\u0435\u043b\u044c\u043d\u0438\u0446\u044c\u043a\u0438\u0439 \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442<br \/>\nO. MAZURETS, O. KOVAL<br \/>\nKhmelnytskyi National University<br \/>\n<strong>DOI:<\/strong> <a href=\"https:\/\/www.doi.org\/10.31891\/2307-5732-2019-273-3-188-196\">https:\/\/www.doi.org\/10.31891\/2307-5732-2019-273-3-188-196<\/a><br \/>\n<strong>\u0420\u0435\u0446\u0435\u043d\u0437\u0456\u044f\/Peer review :<\/strong> 23.03.2019 \u0440.<br \/>\n<strong>\u041d\u0430\u0434\u0440\u0443\u043a\u043e\u0432\u0430\u043d\u0430\/Printed :<\/strong> 01.06.2019 \u0440.<\/p>\n<p style=\"text-align: center;\"><strong>\u0410\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u043c\u043e\u0432\u043e\u044e \u043e\u0440\u0438\u0433\u0456\u043d\u0430\u043b\u0443<\/strong><\/p>\n<p>\u0412 \u0441\u0442\u0430\u0442\u0442\u0456 \u0440\u043e\u0437\u0433\u043b\u044f\u043d\u0443\u0442\u043e \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u0439\u043d\u0443 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u044e \u0440\u0435\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u043e\u0433\u043e \u043f\u043e\u0448\u0443\u043a\u0443 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\u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0440\u0435\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u043e\u0433\u043e \u043f\u043e\u0448\u0443\u043a\u0443 \u043d\u0435\u0433\u0430\u0442\u0438\u0432\u043d\u043e \u0432\u043f\u043b\u0438\u043d\u0443\u043b\u043e \u043d\u0430 \u044f\u043a\u0456\u0441\u0442\u044c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0443, \u043f\u0440\u043e\u0442\u0435 \u0432 18,6% \u0432\u0438\u043f\u0430\u0434\u043a\u0456\u0432 \u0442\u0430\u043a\u0438\u0439 \u043f\u0456\u0434\u0445\u0456\u0434 \u0432\u0438\u044f\u0432\u0438\u0432 \u043a\u0440\u0430\u0449\u0438\u0439 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442. \u041f\u0435\u0440\u0435\u0432\u0430\u0433\u0430\u043c\u0438 \u0440\u043e\u0437\u0440\u043e\u0431\u043b\u0435\u043d\u043e\u0457 \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u0439\u043d\u043e\u0457 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u0457 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\u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0438 \u043f\u0456\u0434 \u0447\u0430\u0441 \u043e\u0431\u0440\u043e\u0431\u043a\u0438 \u0432\u0443\u0437\u044c\u043a\u043e\u0441\u043f\u0435\u0446\u0456\u0430\u043b\u0456\u0437\u043e\u0432\u0430\u043d\u043e\u0433\u043e \u043a\u043e\u043d\u0442\u0435\u043d\u0442\u0443. \u0414\u0430\u043d\u0430 \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u0439\u043d\u0430 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u044f \u043c\u043e\u0436\u0435 \u0431\u0443\u0442\u0438 \u0435\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u0430 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0456\u0437\u0443 \u0442\u0435\u043a\u0441\u0442\u0456\u0432 \u0456\u0437 \u043d\u0435\u0432\u0456\u0434\u043e\u043c\u0438\u043c\u0438 \u0432\u043b\u0430\u0441\u0442\u0438\u0432\u043e\u0441\u0442\u044f\u043c\u0438 \u0442\u0435\u043c\u0430\u0442\u0438\u043a\u0438 \u0442\u0430 \u043c\u043e\u0432\u0438.<br \/>\n<strong>\u041a\u043b\u044e\u0447\u043e\u0432\u0456 \u0441\u043b\u043e\u0432\u0430:<\/strong> \u0446\u0438\u0444\u0440\u043e\u0432\u0438\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442, \u043a\u043b\u044e\u0447\u043e\u0432\u0456 \u0442\u0435\u0440\u043c\u0456\u043d\u0438, \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0456\u0439\u043d\u0430 \u043e\u0446\u0456\u043d\u043a\u0430.<\/p>\n<p style=\"text-align: center;\"><strong>\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u043c\u043e\u0432\u043e\u044e<\/strong><\/p>\n<p>In the article the information technology for recursional definition of semantic key terms in digital texts is considered, which conducts the analysis of text content using the method of dispersion evaluation and without the use of lexical databases of word cases. A characteristic feature of the proposed information technology is the use of recursive components in the search for key terms. The process of automated analysis of digital text through recursional search of key terms using the dispersion evaluation method consists of series of stages of the transformation of information, which collectively form the information technology for recursional definition of semantic key terms. The information technology for recursional definition of semantic key terms has been introduced in the test software product. The input data for the system is an electronic document with digital text, and the output data is a set of key terms that correspond to the investigated fragment of the text content of the electronic document. With the help of developed test software, studies were conducted that confirmed the ability to effectively formulate a set of key semantic terms of texts with search precision up to 89.6% and search recall up to 93.3%. The results of the comparison of the effectiveness of information technology for recursional definition of semantic key terms in digital texts with similar results for technology that use lexical databases of word cases to identify words in texts are ambiguous. In 42.3% of cases, the use of recursional definition negatively affected the quality of the result, but in 18.6% of cases, this approach has shown better result. The advantages of the developed information technology for recursional definition of semantic key terms in digital texts, which conducts analysis of text content using the dispersion evaluation method, are the absence of the need to use lexical database of word cases, significant acceleration of speed, the possibility of using for texts in different languages, the possibility of using for texts in several languages, better results in handling highly specialized content. This information technology can be effectively used to analyse texts with unknown properties of the subject and language.<br \/>\n<strong>Keywords:<\/strong> digital document, key terms, disperse evaluation.<\/p>\n<p style=\"text-align: center;\"><strong>References<\/strong><\/p>\n<ol>\n<li>MAZURETS, O. V. (2017) Ontological Approach to Building a Semantic Model of Educational Materials. Herald of Khmelnytskyi national university. Technical Sciences, Issue 6, 2017 (255). p. 223-229.<\/li>\n<li>SERHIIEVA, O. O. &amp; MAZURETS, A. V. (2017) Intelligent System of Automated Texts Compression \/\/ Collection of scientific works on the materials of the VI<sup>th<\/sup> international scientific and practical conference \u201cICST-ODESSA-2017\u201d. p. 223-229.<\/li>\n<li>BARMAK, O. V. &amp; MAZURETS, O. V. (2015) Methods of Automation of Definition of Semantic Terms in Educational Materials \/\/ Herald of Khmelnytskyi national university. Technical Sciences, Issue 2, 2015 (223). p. 209-213.<\/li>\n<li>ADVEGO (2019) SEO-analazer \u201cAdvego\u201d. [Online] Available from: http:\/\/advego.ru\/text\/seo\/ [Accessed: 25 February 2019]<\/li>\n<li>SERPSTAT (2019) SEO-analazer \u201cSerpstat\u201d. [Online] Available from: http:\/\/seozor.ru\/tools\/analyzer.php [Accessed: 25 February 2019]<\/li>\n<li>SEOZOR (2019) Semantic online-analazer of texts \u201cSeozor\u201d. [Online] Available from: http:\/\/seozor.ru\/tools\/analyzer.php [Accessed: 25 February 2019]<\/li>\n<li>VENTURA, J. &amp; SILVA, J. (2007). New Techniques for Relevant Word Ranking and Extraction. In Proceedings of 13th Portuguese Conference on Artificial Intelligence, Springer-Verlag, p. 691-702.<\/li>\n<li>KRAK, Y., BARMAK, O. &amp; MAZURETS, O. (2018) The Practice Implementation of the Information Technology for Automated Definition of Semantic Terms Sets in Content of Educational Materials. CEUR Workshop Proceedings, 2139. p. 245-254.<\/li>\n<li>LANDE, D. V. &amp; SNARSKIY, A. A. (2013) Kompaktificirovanniy Gorizontalniy Graf Vidimosti dlya Seti Slov \/ D.V. Lande, A. A. Snarskiy \/\/ Trudi Mejdunarodnoy Nauchnoy Konferencii \u00abIntellektualniy Analiz Informacii IAI-2013. Znania I Rassujdenia\u00bb. p 158-164.<\/li>\n<li>MAZURETS, O. V., KOVALCHYK, O. V. &amp; SLOBODZIAN, V. O. (2018) Using specialized software packeges for automation of work with digital documents of educational materials \/\/ Herald of Khmelnytskyi national university. Technical Sciences, Issue 1, 2018 (257). p. 61-69.<\/li>\n<li>MANNING, C., RAGHAVAN, P. &amp; SCHUTZE, H. (2008) Introduction to Information Retrieval. Cambridge University Press.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0406\u041d\u0424\u041e\u0420\u041c\u0410\u0426\u0406\u0419\u041d\u0410 \u0422\u0415\u0425\u041d\u041e\u041b\u041e\u0413\u0406\u042f \u0420\u0415\u041a\u0423\u0420\u0421\u0418\u0412\u041d\u041e\u0413\u041e \u041f\u041e\u0428\u0423\u041a\u0423 \u041a\u041b\u042e\u0427\u041e\u0412\u0418\u0425 \u0422\u0415\u0420\u041c\u0406\u041d\u0406\u0412 \u0423 \u0426\u0418\u0424\u0420\u041e\u0412\u0418\u0425 \u0422\u0415\u041a\u0421\u0422\u0410\u0425 INFORMATION TECHNOLOGY FOR RECURSIONAL DEFINITION OF KEY TERMS IN DIGITAL TEXTS \u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 188-196. \u041d\u043e\u043c\u0435\u0440: \u21163, 2019 (273) \u0410\u0432\u0442\u043e\u0440\u0438: \u041e.\u0412. \u041c\u0410\u0417\u0423\u0420\u0415\u0426\u042c, \u041e.\u041e. \u041a\u041e\u0412\u0410\u041b\u042c \u0425\u043c\u0435\u043b\u044c\u043d\u0438\u0446\u044c\u043a\u0438\u0439 \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 O. MAZURETS, O. KOVAL Khmelnytskyi National University DOI: https:\/\/www.doi.org\/10.31891\/2307-5732-2019-273-3-188-196 \u0420\u0435\u0446\u0435\u043d\u0437\u0456\u044f\/Peer review : 23.03.2019 \u0440. \u041d\u0430\u0434\u0440\u0443\u043a\u043e\u0432\u0430\u043d\u0430\/Printed : 01.06.2019 \u0440. \u0410\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u043c\u043e\u0432\u043e\u044e \u043e\u0440\u0438\u0433\u0456\u043d\u0430\u043b\u0443 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[20],"tags":[],"_links":{"self":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1468"}],"collection":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1468"}],"version-history":[{"count":4,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1468\/revisions"}],"predecessor-version":[{"id":5788,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1468\/revisions\/5788"}],"wp:attachment":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1468"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1468"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1468"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}