Research on Construction Method of Knowledge Graph of US Military Equipment Based on BiLSTM model

In order to deeply excavate the hidden knowledge in military information resources, and introduce Deep Learning model into the military field, a method of constructing the knowledge graph of US military equipment based on BiLSTM model is proposed by this paper. The core technologies such as knowledge system construction, knowledge extraction and knowledge storage are elaborated, and an entity extraction algorithm based on BiLSTM-CRF model and an entity relationship extraction algorithm based on BiLSTM-Attention model are proposed. Finally, this paper designs and implements the knowledge graph system of US military equipment, and provides the retrieval entrance of military information. It is more intelligent and comprehensive to feedback the information concerned by users.