Computational linguistics and intelligent systems

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    Designing Linguistic Ontologies for Training Information Systems
    (2021-05-04) Tkachenko, Olha; Tkachenko, Kostiantyn; Tkachenko, Oleksandr; State University of Infrastructure and Technology; National Aviation University
    The article discusses the problems of designing linguistic ontologies for educational information systems. An approach to the formalized description of linguistic ontologies is considered, taking into account the concepts of subject areas of training information systems and the relationship between these concepts. The thesaurus of the training information system, built on the basis of linguistic ontologies, is considered.
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    Ontology using for decision making in a competitive environment
    (Lviv Polytechnic National University, 2018-06-25) Lytvyn, Vasyl; Oborska, Oksana; Vysotska, Victoria; Dosyn, Dmytro; Demchuk, Andriy; Lviv Polytechnic National University, Lviv, Ukraine; Silesian University of Technologyty, Gliwice, Poland; Karpenko Physico-Mechanical Institute of the NAS Ukraine
    A method of decision making system elaboration in competitive environment based on ontological approach was developed. The models based on a hinged Boyd-Moore automaton. State machine loops are the stages Boyd and filling processes, ontology editing and a search of relevant knowledge ontology. Possible transitions between the states of the machine and transfer parameters between them were determined. For a quantitative modeling of decision support process in a competitive environment, mathematical support and methods of domain-specific ontology in the Boyd cycle (OODA – observation, orientation, decision, action) were elaborated. Thus, for the military at an “Observations” stage intelligence domain ontology determining of the strengths and weaknesses of the enemy. At the stage of “orientation”, ontological data are used for simulation of possible realizations of the battle and for optimal positioning of the forces. For “Resolution” stage, target distribution was developed using a method based on genetic algorithms, which helped to reduce the computational complexity of finding effective distribution targets. Ontology expertise based on descriptive logic is presented to increase the effectiveness of possible solutions.
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    Extracting and classification the semi-structured data of web-systems
    (Lviv Polytechnic National University, 2018-06-25) Pelekh, Irina; Lviv Polytechnic National University, Lviv, Ukraine
    The extracting and classification of semi-structured data of websystems is described. The definition of semi-structured data is given and the main characteristics are defined. The variety of tasks text information processing is grouped into the eleven large classes related to the analysis of text data. The traditional models of knowledge representation are considered. An algorithm for the web-sources, from which data will to be obtained, ontological model integrating creating is proposed. The process of data extracting using the query language to the markup language elements is characterized.
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    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.
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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.