Research on Domain Entity Extraction in Civil Aviation Safety

By constructing the knowledge graph in the field of civil aviation safety, the data on civil aviation safety can be effectively used to mine associations so as to provide support for civil aviation risk analysis. To solve the efficiency problem of domain entity extraction in graph construction, statistical methods and text mining techniques are adopted. The TF-IDF and TextRank algorithms are introduced to assist in the induction of important terms in the domain of civil aviation safety. The correlation of keywords is calculated in this paper using the world's civil aviation accident investigation report and 100 other articles in other fields. The calculated results can assist entity extraction in the process of graph construction. In summary, these studies will help to improve the efficiency of domain entity extraction in civil aviation safety.