access icon openaccess Construction of knowledge graph of maritime dangerous goods based on IMDG code

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 11/10/2019, Accepted 19/11/2019, Published 13/01/2020

The International Maritime Dangerous Goods Code (IMDG Code) is the most important regulation in the international maritime transport chain of dangerous goods. Any international ship carrying dangerous goods must be strictly observed. Integrating and correlating cumbersome knowledge of IMDG Code and simplifying the query process are of great significance to the safe transportation and storage of dangerous goods. As a new method of knowledge representation and management, knowledge graph has been successfully applied in many industries. It can present the complex relationship between domain knowledge and correlate trivial and scattered knowledge, which provides a new way to solve this problem. This article starts with the knowledge system, structure, and classification of IMDG Code, and then analyses the related concepts of knowledge graph of maritime dangerous goods. Based on the above analysis, the authors construct the knowledge graph of maritime dangerous goods. It is helpful to simplify the retrieval process of dangerous goods professional knowledge, realise the automatic judgment of cargo stowage and segregation, and promote the intelligent transportation of dangerous goods.

Inspec keywords: knowledge representation; transportation; ships; marine safety; query processing; freight handling; goods distribution

Other keywords: international maritime transport chain; IMDG Code; IMDG code; knowledge system; International Maritime Dangerous Goods Code; cumbersome knowledge; knowledge representation; knowledge graph; correlate trivial scattered knowledge; dangerous goods professional knowledge; domain knowledge

Subjects: Goods distribution; Combinatorial mathematics; Knowledge engineering techniques; Expert systems and other AI software and techniques; Traffic engineering computing

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