A context-oriented approach to solving the problem of the ambiguity of the terms under quasi-semantic applications

Authors

  • Anton Yuriiovych Mykhailiuk Kyiv University. B.Grinchenko
  • Oleksii Vasyliovych Pylypchuk "KPI named Igor Sikorsky"
  • Olena Stanislavivna Mykhailiuk "KPI named Igor Sikorsky"
  • Volodymyr Petrovych Tarasenko "KPI named Igor Sikorsky"

Keywords:

linguistic ontology, text data sets, quasi-semantic approach

Abstract

A problem of solving the ambiguity of terms which appears in fact at any form of working with text data sets: in information search, during analytical processing of text corps, automatic translation, in engineering ontologies and vocabularies, etc. is considered. A context-oriented approach to automated solving of terms ambiguity problem using a linguistic ontology is proposed. Advantages and disadvantages of the approach and main areas and ways of using are considered.

Author Biographies

Anton Yuriiovych Mykhailiuk, Kyiv University. B.Grinchenko

Ph.D., lecturer in computer science

Oleksii Vasyliovych Pylypchuk, "KPI named Igor Sikorsky"

Assistant Department SPSKS

Olena Stanislavivna Mykhailiuk, "KPI named Igor Sikorsky"

Researcher Department SPSKS

Volodymyr Petrovych Tarasenko, "KPI named Igor Sikorsky"

PhD, Professor, Head of SPSKS

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Abstract views: 302

Published

2017-06-06

How to Cite

[1]
A. Y. Mykhailiuk, O. V. Pylypchuk, O. S. Mykhailiuk, and V. P. Tarasenko, “A context-oriented approach to solving the problem of the ambiguity of the terms under quasi-semantic applications”, ІТКІ, vol. 38, no. 1, pp. 22–29, Jun. 2017.

Issue

Vol. 38 No. 1 (2017): Information Technology and Computer Engineering

Section

Information technology and coding theory

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