Abstract
Correct and complete aviation data is a prerequisite for SWIM cross-domain information sharing, which will affect the correct operation of the application program of the air traffic control system. The current syntax-based data verification method can verify the good structure of AIXM exchange documents. And rule constraints are usually in raw textual form and cannot be automatically enforced in computerized systems. This paper proposes an automated data semantic verification method for business rules based on SBVR, constructs the semantic rules meta-model of AIXM data, forms a set of AIXM business rules writing methods, and realizes the coding conversion path for implementing this method into system development, which supports automatic verification of more complex business logic and rule constraints.
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This work was sponsored by National Key Research and Development program (NO. 2018YFE0208700).
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Wang, X., Tian, Y., Fu, S., Musila, C.M. (2023). Research on Semantic Verification Method of AIXM Data Based on SBVR. In: Liang, Q., Wang, W., Mu, J., Liu, X., Na, Z. (eds) Artificial Intelligence in China. AIC 2022. Lecture Notes in Electrical Engineering, vol 871. Springer, Singapore. https://doi.org/10.1007/978-981-99-1256-8_31
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