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Development of a chatbot framework for ship safety education –based on actual communication data between a port control center and ships

Authors
Choi, S.Seo, W.Choi, S.Jang, E.-K.
Issue Date
2018
Publisher
ICIC International
Keywords
Chatbot framework; Deep learning; LSTM; Maritime education
Citation
ICIC Express Letters, Part B: Applications, v.9, no.11, pp.1133 - 1137
Journal Title
ICIC Express Letters, Part B: Applications
Volume
9
Number
11
Start Page
1133
End Page
1137
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4398
DOI
10.24507/icicelb.09.11.1133
ISSN
2185-2766
Abstract
The advent of the data age and advances in artificial intelligence technology have led to innovations in various business areas. In particular, many attempts have been made to reduce the frequency at which marine accidents occur – attempts that have yet to include a data-driven approach. Most marine accidents occur when a vessel is approaching a port and preparing for berthing. Although the cause of the accident has many factors, it often involves difficulties in communication between the ship navigator and the control center. In particular, communication in English results in difficulties for navigators who do not speak English as their first language. To address this, proper English conversation education for sailors is very important. In order to support the issue, this study presents data and a framework for the development of a chatbot for ship safety education. © 2018, ICIC International. All rights reserved.
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Engineering (Department of Industrial Engineering)
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