A SELF-SYSTEM TO IDENTIFY CONCEPTUAL RELATIONSHIPS IN A TEXT

Authors

  • Anastasia Vavilenkova National Aviation University

DOI:

https://doi.org/10.18372/2306-1472.62.7780

Keywords:

concptual relationships, logic and linguistic model, natural language, transition network, semantic modling

Abstract

The purpose of this study is to identify conceptual relationships in texts based on the use of logic and linguistic models of textual information. There are analyzed tools for building meaningful relationships within text documents. This analysis compares the creation of thematic progressions and a finite state transition network. This work demonstrates the disadvantages of the augmented finite state transition network and highlights the advantages of constructing logic and linguistic models of natural language sentences as the key operation mechanism of self-system. Identifying of conceptual relationships is possible by matching and replacing the predicate variables and constants.

Author Biography

Anastasia Vavilenkova, National Aviation University

Vavilenkova Anastasia (1984). Candidate of Engineering. Associate Professor.
Department of Computerized Control Systems, National Aviation University, Kyiv, Ukraine
Education: National Aviation University, Kyiv, Ukraine, 2007.
Research area: information technologies, computational linguistics, the formation of the logic and linguistic models.

References

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Published

17-03-2015

How to Cite

Vavilenkova, A. (2015). A SELF-SYSTEM TO IDENTIFY CONCEPTUAL RELATIONSHIPS IN A TEXT. Proceedings of National Aviation University, 62(1), 63–69. https://doi.org/10.18372/2306-1472.62.7780

Issue

Section

INFORMATION TECHNOLOGY