Construction and application research of knowledge graph in aviation risk field

Qian Zhao, Qing Li, Jingqian Wen

Research output: Contribution to journalConference articlepeer-review

12 Citations (Scopus)

Abstract

Since the causes of aviation accidents and risks are complicated, concealed, unpredictable and difficult to be investigated, in order to achieve the efficient organization and knowledge sharing of the historical cases of aviation risk events, this paper put forward the method of constructing vertical knowledge graph for aviation risk field. Firstly, the data-driven incremental construction technology is used to build aviation risk event ontology model. Secondly, the pattern-based knowledge mapping mechanism, which transform structured data into RDF (Resource Description Framework) data for storage, is proposed. And then the application, update and maintenance of the knowledge graph are described. Finally, knowledge graph construction system in aviation risk field is developed; and the data from American Aviation Safety Reporting System (ASRS) is used as an example to verify the rationality and validity of the knowledge graph construction method. Practice has proved that the construction of knowledge graph has a guiding significance for the case information organization and sharing on the field of aviation risk.

Original languageEnglish
Article number05003
JournalMATEC Web of Conferences
Volume151
DOIs
Publication statusPublished - 21 Feb 2018
Event2017 Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2017 - Yokohama, Japan
Duration: 29 Dec 201731 Dec 2017

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