2016
DOI: 10.15407/pp2016.02-03.237
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The practice investigation of the information technology efficiency for automated definition of terms in the semantic content of educational materials

Abstract: The information technology on base of the disperse evaluation, which with enough high efficiency allows automated define the semantic terms in content of educational materials article is given. The factors that hinder effective analysis of educational materials have been considered. High efficiency offered technologies gives possible of its using in row of the problems, such as estimation of the correspondence of educational materials to requirements, estimation of the correspondence of set test tasks to educa… Show more

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Cited by 3 publications
(2 citation statements)
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“…On the next step of the method, the content of each element of the set of headers H is processed to search for lower-level semantic units in the form of key terms. First, a set of all possible candidate-terms is formed, their occurrence in the content is searched, the numerical value of their importance is determined using the method of disperse estimation, their number in the resulting set is limited using the method of limiting keyword density [15]. These operations result in elements of the set of key terms K and the corresponding relations:…”
Section: Methodsmentioning
confidence: 99%
“…On the next step of the method, the content of each element of the set of headers H is processed to search for lower-level semantic units in the form of key terms. First, a set of all possible candidate-terms is formed, their occurrence in the content is searched, the numerical value of their importance is determined using the method of disperse estimation, their number in the resulting set is limited using the method of limiting keyword density [15]. These operations result in elements of the set of key terms K and the corresponding relations:…”
Section: Methodsmentioning
confidence: 99%
“…There are a number of papers that investigated the techniques for relevant word ranking and extraction (Ventura & Silva, 2007), effectiveness of IT for the automatic definition of terms in semantic content (Krak, Barmak & Mazurets, 2016, 2018, the method of generalising grammatical structures for text translation using a computer (Krak, Barmak & Romanyshyn, 2014), the text system for alternative conversational communications (Krak et al, 2017). The results of these studies are presented in publications to the Scopus Scientometric Database.…”
Section: Introductionmentioning
confidence: 99%