Flight test domain knowledge graph construction and application
Xiaoqing Zhang, Zhiqiang Zhang · 2023
Aiming at the problem that the association query demand between the massive and complex relationship between flight test data in the flight test field cannot be realized at present, a knowledge graph construction method in the flight test field is proposed. Eight types of entities are defined and twelve types of relationships are designed according to the business requirements of association query, forming a complete set of flight test domain knowledge entities and relationship descriptions, and flight test data stored in the database are loaded into HugeGraph, a graph database, through data format alignment, entity schema construction, relationship schema construction and data extraction and transformation from the original database. Based on the attribute graph model, the flight test domain knowledge graph was constructed; a flight test data correlation query system was built based on the knowledge graph, providing a web query interface in graph form and displaying the query results to users through the D3 visualisation component with a graph structure. The experimental test of the flight test domain knowledge graph was conducted using the internal business system data as the source, and the results verified the completeness and reliability of the constructed knowledge graph, while the experimental verification of the constructed correlation query system showed that the query efficiency of the system was significantly improved compared with the traditional database method.