Ontology Intelligent Construction Technology for NOTAM

Abstract

With the coming of the new information epoch, the quantity of aeronautical intelligence information increases exponentially. In the effort to improve the efficiency and security of the aeronautical industry, it has become a key factor to determine how to acquire, extract, and represent knowledge from a large set of aeronautical intelligence information and forming a knowledge base to guide the intelligent development of aeronautical intelligence information management work. In order to promote integration and sharing of information regarding aeronautical intelligence information domain and obtain the deeper information and knowledge, the construction and application of NOTAM (Notice to Air Men) ontology are developed based on text mining. The NOTAM text is collected and analyzed by web crawler technology. Combined with the professional term in specific domain, we successfully extract the key concepts of the ontology by TF-IDF (term frequency-inverse document frequency) text features. Furthermore, the hierarchical and non-hierarchical relations are automatically extracted by text cluster methods and specific domain knowledge system. Finally, the ontology editor—protégé helps us to visualize the key concepts and the relations in the ontology. Meanwhile, a NOTAM text is instanced to verify the efficiency and precision of the NOTAM ontology.