MATEC Web Conf.
Volume 151, 20182017 Asia Conference on Mechanical and Aerospace Engineering (ACMAE 2017)
|Number of page(s)||6|
|Section||Aerospace Engineering and Applications|
|Published online||21 February 2018|
Construction and application research of knowledge graph in aviation risk field
School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
2 School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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