Computational linguistics and intelligent systems

Permanent URI for this communityhttps://ena.lpnu.ua/handle/ntb/39447

Browse

Author: search.filters.author.Naum, OlehSubject: search.filters.subject.ontology

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    The information system for identification of content set based on analysis of similar texts
    (Lviv Polytechnic National University, 2018-06-25) Kovalchuk, Viktoriia; Lytvyn, Vasyl; Vysotska, Victoria; Hrendus, Mariya; Naum, Oleh; Lviv Polytechnic National University, Lviv, Ukraine; Silesian University of Technologyty, Gliwice, Poland; Drohobych Ivan Franko State Pedagogical University, Drohobych, Ukraine
    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.
  • Thumbnail Image
    Item
    Intelligent system structure for Web resources processing and analysis
    (National Technical University «KhPI», 2017) Lytvyn, Vasyl; Vysotska, Victoria; Chyrun, Lyubomyr; Smolarz, Andrzej; Naum, Oleh; Lviv Polytechnic National University; Institute of Electronics and Information Technology, Lublin University of Technology; Information Systems and Technologies Department, Drohobych Ivan Franko State Pedagogical University
    The paper describes the general detailed and formal description of intelligent system of information resources processing (ISIRP) based ontology. The content life cycle phase implementation of ISIRP structure is improved. The general principles of ISIRP designing structures enable automated information resource processing to increase regular user text content realization, reducing the production cycle, saving time and increasing the e-commerce capabilities.