Classification Methods of Text Documents Using Ontology Based Approach

Lytvyn Vasyl. Classification Methods of Text Documents Using Ontology Based Approach / Vasyl Lytvyn, Victoria Vysotska, Oleh Veres, Ihor Rishnyak, Halya Rishnyak // Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing 512. Natalya Shakhovska Editor. Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6–10 Lviv, Ukraine. – ISSN 2194-5357 ISSN 2194-5365 (electronic). - ISBN 978-3-319-45990-5 ISBN 978-3-319-45991-2 (eBook). - DOI 10.1007/978-3-319-45991-2. - Library of Congress Control Number: 2016950408. - Springer International Publishing AG 2017.  - PP. 229-240. – Access mode:  http://www.springer.com/us/book/9783319459905 .

 Vasyl Lytvyn, Victoria Vysotska, Oleh Veres, Ihor Rishnyak, Halya Rishnyak 
Lviv Polytechnic National University

CLASSIFICATION METHODS OF TEXT DOCUMENTS USING ONTOLOGY BASED APPROACH

Abstract: This article discusses an approach to classification of text documents using ontological approach. The method of text documents categorization based on metrics, which uses the rubric ontology specificity, is built.

Keywords: Text document, Ontology, Rubrication, Class, Metrics

(Для ознайомлення з повним текстом статті необхідно залогінитись)