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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