Construction of Knowledge Graphs for Maritime Dangerous Goods

• Main Authors: Qi Zhang, Yuanqiao Wen, Chunhui Zhou, Hai Long, Dong Han, Fan Zhang, Changshi Xiao
• Format: Article
• Language: English
• Published: MDPI AG 2019-05-01
• Series: Sustainability
• Subjects: knowledge graph; maritime dangerous goods; ontology; knowledge representation; knowledge management
• Online Access: https://www.mdpi.com/2071-1050/11/10/2849

Dangerous goods occupy an important proportion in international shipping, and government and enterprises pay a lot of attention to transport safety. There are a wide variety of dangerous goods, and the knowledge involved is extensive and complex. Organizing and managing this knowledge plays an important role in the safe transportation of dangerous goods. The knowledge graph is a mass of brand-new knowledge management technologies that provide powerful technical support for integrating domain knowledge and solving the problem of the “knowledge island.” This paper first introduces the knowledge of maritime dangerous goods (MDG); constructs a three-layer knowledge structure of MDG, dividing this knowledge into two categories; uses ontology to express the concepts, entities, and relations of MDG; and puts forward the representation methods of the conceptual layer and entity layer and designs them in detail. Finally, the knowledge graph of maritime dangerous goods (KGMDG) is constructed. Furthermore, we demonstrate the knowledge visualization, retrieval, and automatic judgment of segregation requirement based on KGMDG. It is proved that KGMDG does not only help to simplify the retrieval process of professional knowledge and to promote intelligent transportation but is also conducive to the sharing, dissemination, and utilization of MDG knowledge.