2019
DOI: 10.3390/su11102849
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Construction of Knowledge Graphs for Maritime Dangerous Goods

Abstract: 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 solv… Show more

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Cited by 25 publications
(14 citation statements)
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References 34 publications
(32 reference statements)
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“…They mainly integrate Chinese encyclopedia websites (such as Baidu Encyclopedia, HDwiki and Chinese Wikipedia). In addition to general purpose large-scale knowledge graphs, various industries are also building knowledge graphs in vertical fields, such as a knowledge graph for the medical field [9], a knowledge graph of breast cancer [10], and a knowledge graph of maritime dangerous goods [11].…”
Section: Related Workmentioning
confidence: 99%
“…They mainly integrate Chinese encyclopedia websites (such as Baidu Encyclopedia, HDwiki and Chinese Wikipedia). In addition to general purpose large-scale knowledge graphs, various industries are also building knowledge graphs in vertical fields, such as a knowledge graph for the medical field [9], a knowledge graph of breast cancer [10], and a knowledge graph of maritime dangerous goods [11].…”
Section: Related Workmentioning
confidence: 99%
“…In the legal domain, KG is also used to manage case knowledge [52]. The maritime hazardous materials knowledge graph enables automatic determination of hazardous materials in isolation [53]. In addition, KG is used for knowledge management in education [54].…”
Section: Knowledge Graph (Kg)mentioning
confidence: 99%
“…Based on these open KGs, various industry KGs that are applicable to different industries (such as finance, agriculture, geography, meteorology, medicine and education) have also been constructed. These include the Gene Ontology [25] and Traditional Chinese Medicine KG [26] for biomedicine, Crop Diseases and Insect Pests [27] for agriculture, FOAF for social relations [28] and KGs for social networks [29], GeoNames Ontology and GeoKG for geospatial big data [30], [31], OSM Semantic Network [32]- [34], transportation KG [35], [36], KGs for multimedia conferencing process management [37], etc.…”
Section: B Knowledge Graph 1) Overview Of Knowledge Graphmentioning
confidence: 99%
“…Understanding the world from different levels is a cognitive mechanism inherent in humans [39]. Therefore, as shown in FIGURE 2, by studying the multi-granularity related content [35], [40], [41], this study proposes a multi-granularity knowledge structure to realize a description of data, information, and knowledge at different scales in SOSKG. The multi-granularity knowledge structure of SOSKG includes a macro knowledge layer, core knowledge layer and micro knowledge layer, each being interconnected.…”
Section: A Multi-granularity Knowledge Structure Of Soskgmentioning
confidence: 99%