Textual Content Categorizing Technology Development Based on Ontology

被引：0

作者：

Lytvyn, Vasyl ^{[1
,2
]}

Vysotska, Victoria ^{[1
]}

Rusyn, Bohdan ^{[3
]}

Pohreliuk, Liubomyr ^{[3
]}

Berezin, Pavlo ^{[1
]}

Naum, Oleh ^{[4
]}

机构：

[1] Lviv Polytech Natl Univ, Lvov, Ukraine

[2] Silesian Tech Univ, Gliwice, Poland

[3] NAS Ukraine, Karpenko Phys Mech Inst, Kiev, Ukraine

[4] Ivan Franko Drohobych State Pedag Univ, Drogobych, Ukraine

来源：

MOMLET&DS-2019: MODERN MACHINE LEARNING TECHNOLOGIES AND DATA SCIENCE | 2019年 / 2386卷

关键词：

ontology; content; text categorization; text content; information technology; computer science; intellectual system; intelligent system; text content categorization; user interface; text document; text classification; information system; machine learning algorithm; user unfriendly interface; content categorization system; OPTIMIZATION; ALGORITHM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The methods and means of using ontologies within systems for the categorization of textual content were created. Also, a method for optimizing the definition of which rubrics best relate to a certain text content was developed. The intellectual system that will use the methods developed earlier, as well as other research results was implemented. The results will allow users to easily filter their text content. The system developed has intuitive user interface.

引用

页码：234 / 254

页数：21

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