Computational linguistics and intelligent systems

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Author: search.filters.author.Vysotska, VictoriaSubject: search.filters.subject.machine learning

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    A method of construction of automated basic ontology
    (National Technical University «KhPI», 2017) Lytvyn, Vasyl; Vysotska, Victoria; Wojcik, Waldemar; Dosyn, Dmytro; Lviv Polytechnic National University; Institute of Electronics and Information Technology, Lublin University of Technology; Systems Analysis Laboratory, Karpenko Physico-Mechanical Institute of the NAS of Ukraine
    The paper describes an approach to development of a computer system that automatically constructs an ontology base. Basic modules of the system and its operation are described, as well as the choice of software tools for implementation. Application of the proposed system allows to fill the domain ontology in an automatic mode. Therefore, this paper introduces an approach to development of an automated basic ontology composition. An architecture of synthesis of the ontology system is created using CROCUS (Cognition Relations or Concepts Using Semantics) software model. The main system modules and their functions are described. A decision of SDK for system realization is justified. Application of the proposed system can fill an ontology of subject area automatically.
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    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.