Computational linguistics and intelligent systems. – 2018 р.

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/42549

Proceedings of the 2nd International conference, June 25–27, 2018, Lviv

This volume represents the proceedings of the Workshop Conference, with Posters and Demonstrations track, of the 2nd International Conference on Computational Linguistics and Intelligent Systems, held in Lviv, Ukraine, in June 2018. It comprises 19 contributed papers that were carefully peer-reviewed and selected from 36 submissions. The volume opens with the abstracts of the keynote talks. The rest of the collection is organized in two parts. Parts II contain the contributions to the Workshop COLINS Conference tracks, structured in two topical sections: (I) Computational Linguistics; (II) Intelligent Systems.

Computational linguistics and intelligent systems : proceedings of the 2nd International conference, 25–27 June 2018 / Lviv Polytechnic National University. – Lviv, 2018. – Volume 2 : Workshop. – 178 p.

Зміст


1
5
10
PART 1. KEYNOTE SPEAKERS TALKS
17
28
40
53
60
71
81
PART 2. WORKSHOP CONFERENCE TRACKS. SECTION I. COMPUTATIONAL LINGUISTICS
97
108
110
112
114
122
SECTION II. INTELLIGENT SYSTEMS
129
139
146
157
161
171
177

Content (Vol. 2 : Workshop)


1
5
10
PART 1. KEYNOTE SPEAKERS TALKS
17
28
40
53
60
71
81
PART 2. WORKSHOP CONFERENCE TRACKS. SECTION I. COMPUTATIONAL LINGUISTICS
97
108
110
112
114
122
SECTION II. INTELLIGENT SYSTEMS
129
139
146
157
161
171
177

Browse

Author: search.filters.author.Lytvyn, VasylSubject: search.filters.subject.ontology

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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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    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.