Target intention discrimination method of event evolutionary knowledge enhancement

Abstract

With the multi-source intelligence data grow exponentially, traditional methods can barely satisfy the requirement, which means to organize and understand the tremendous military knowledge. So, this research project aims to develop unified, highly connected military knowledge graph to integrate information. Using front-end interaction technology, supporting learning function based on inference, error-correcting and marking, this graph can continuously modify the logic model and improve the intelligence of itself, so the knowledge will be solid in our department. It can reduce dependence on the experience of special experts, and moreover, provide platform for developing data-driven general battle system.

Keywords

• event representation
• event extraction
• event evolutionary graph (eeg)
• intention discrimination