Research On Feature Extraction And Visualization Of NOTAMs Based On Knowledge Graph

According to ICAO’s requirements for developing the aviation intelligence field,the aviation intelligence field will complete the change from aviation intelligence services to aviation intelligence management in the next decade.Aviation intelligence products contain many correlations and laws between aviation events.In order to further improve the quality of aviation intelligence services,it is necessary to mine the unique value of the vast aviation intelligence data itself.Therefore,this paper comprehensively and deeply studies the knowledge law between the data of aeronautical information products and extracts the characteristic information of aeronautical information products.Then,this paper constructs a dataset of Chinese civil aviation information products to demonstrate the knowledge associations between aviation information products.Subsequently,while making timely judgment and post-event analysis of aviation events,this paper lays a foundation for further realizing the reorganization and reuse of aeronautical information product data and the application of forecasting for future development.This paper focuses on the construction and visualization of the knowledge graph-based navigation information set and the application technology.In the construction of the NOTAM information set of the knowledge graph,this paper firstly introduces the process of building a knowledge graph and the related technical methods of building a NOTAM knowledge graph;secondly,taking NOTAM as the research object,this paper studies the related technologies of knowledge representation and modeling method.Combined with NOTAM’s temporal and spatial characteristics,this paper improves the traditional resource description framework model.Subsequently,a new NOTAM space-time resource description framework model is constructed;finally,according to the newly constructed NOTAM space-time resource description framework model,the paper studies the mapping rules for the extraction of NOTAM feature information knowledge.On this basis,this paper proposes a set of processes and technical methods for extracting the feature information in accordance with NOTAM.Moreover,this paper verifies the feasibility and effectiveness of the technical process method through examples.This paper mainly realizes two visualization applications in the visualization application of knowledge association of navigation notices based on a knowledge graph.Firstly,this paper researches the technology and data storage structure of knowledge map visualization;secondly,it proposes knowledge storage based on Neo4 j graph database node-link graph technology by combining the data characteristics of massive navigation notices;finally,it realizes the knowledge association visualization of navigation notice knowledge map.The second one is the geospatial visualization of navigation notices by GIS.In this paper,firstly,the possibility of geographic information visualization between GIS and navigation notice feature information,data structure,and related technical methods are studied;secondly,XML text rules of navigation notices are written;finally,geospatial visualization application of navigation notices is realized based on GIS.