A Semantic Approach for Generating Graphical Representation from Aircraft Maintenance Text

Thi-Bich-Ngoc Hoang, Ba-Huy Tran, Marzieh Mozafari

2022

Abstract

Industrial maintenance is a strategic business function. Over the past twenty years, the role of maintenance in companies has become increasingly important both technologically and economically. However, maintenance service has not taken into account the frequent change in maintenance knowledge, the users’ perspective (the training, the origins, or the cultures), and the users’ support documents preferences. In this article, we propose preliminary results of an approach to make industrial maintenance universal. We use natural language processing techniques to extract core information from maintenance text and then construct a knowledge base to store all relevant information about maintenance processes, domain information, and corresponding graphics. Finally, we generate a graphical representation of input text to help better understand the procedure, thus increasing the user experience and the performance of maintenance operations in terms of reducing time and cost. This approach is first applied to aircraft maintenance and can be applied to maintenance in other industry domains as well.

Paper Citation

in Harvard Style

Hoang T., Tran B. and Mozafari M. (2022). A Semantic Approach for Generating Graphical Representation from Aircraft Maintenance Text. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 3: KMIS; ISBN 978-989-758-614-9, SciTePress, pages 169-176. DOI: 10.5220/0011543000003335

in Bibtex Style

@conference{kmis22,
author={Thi-Bich-Ngoc Hoang and Ba-Huy Tran and Marzieh Mozafari},
title={A Semantic Approach for Generating Graphical Representation from Aircraft Maintenance Text},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 3: KMIS},
year={2022},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011543000003335},
isbn={978-989-758-614-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 3: KMIS
TI - A Semantic Approach for Generating Graphical Representation from Aircraft Maintenance Text
SN - 978-989-758-614-9
AU - Hoang T.
AU - Tran B.
AU - Mozafari M.
PY - 2022
SP - 169
EP - 176
DO - 10.5220/0011543000003335
PB - SciTePress