Detection of gaps in documentation concerning remotepiloted aviation based on content analysis
Date
2018-06-25
Journal Title
Journal ISSN
Volume Title
Publisher
Lviv Polytechnic National University
Abstract
This article dwells upon the procedures of computer-linguistic
formation of documentation concerning remote-piloted vehicles that are
necessary for the implementation of software components for the collection,
processing and preservation of information received from open web-resources.
It is highlighted that processing of large volumes of information located on
open web-resources requires development of certain approaches to its
automated consolidation, classification, structuring, processing and use that is
very useful for further certification of remote-piloted vehicles. It is emphasized
that linguistic support as a set of linguistic means of information processing is
important during development of relevant information systems for aviation
support. The procedures for detecting gaps in documentation concerning
remote-piloted aviation by analyzing the structure of documentation, its content,
frequency analysis of markers and indicative features that allow to improve
functional quality indicators are very similar to the same procedures concerning
tourism documentation. It has been made based on documentation structure and
content analysis and is important for automatic system development of
documentation creation in the sphere of remote-piloted aviation.
Description
Keywords
Remote-piloted vehicles, Documentation, Information gap, Indicative characteristics, Linguistic markers, Remote-piloted vehicles certification
Citation
Markiv V. Detection of gaps in documentation concerning remotepiloted aviation based on content analysis / Volodymyr Markiv, Mykola Mykyichuk, Oksana Markiv // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 97–107. — (Part 2. Workshop conference tracks. Section I. Computational Linguistics).