The information system for identification of content set based on analysis of similar texts
Date
2018-06-25
Journal Title
Journal ISSN
Volume Title
Publisher
Lviv Polytechnic National University
Abstract
Information search is one of the most dynamic areas in terms of
development and search for new algorithms for solving this problem. Nowadays
a large number of search engines, which work with artistic composition, have
been developed, but most of them are oriented only on conducting the work
with metadata. In addition, effective methods of analysis of the subject of the
text have been used, as well as identification of works after it is considered.
Different ways of searching and problems of implementation of an
ontologically flexible semantic search are considered. An information system
for the identification of a plurality of content has been developed based on a
thematic analysis of similar texts.
Description
Keywords
semantic, semantic search, text search, information search, ontology, information, e-library, electronic library, semantic electronic library, text analysis, search
Citation
The information system for identification of content set based on analysis of similar texts / Viktoriia Kovalchuk, Vasyl Lytvyn, Victoria Vysotska, Mariya Hrendus, Oleh Naum // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 122–127. — (Part 2. Workshop conference tracks. Section I. Computational Linguistics).