Detection of gaps in documentation concerning remotepiloted aviation based on content analysis

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.

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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).

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