Building Domain-Specific Knowledge Graph for Unmanned Combat Vehicle Decision Making under Uncertainty

With the development of intelligent war, unmanned vehicle plays an more and more important role in the future war. As an important part of the ground unmanned vehicle system, unmanned combat vehicles have been a hot spot for researchers to improve vehicle autonomy. knowledge is the foundation of intelligence and is of great significance for improving the vehicle autonomy. This paper proposes to build the knowledge graph in unmanned combat vehicle domain. The paper firstly uses the ontology to build the pattern layer of the knowledge graph. In order to fully express the uncertainty of the domain knowledge, the ontology is probabilistically extended to support the representation of uncertain knowledge. Then build a reasoning network based on the knowledge graph to support the reasoning of uncertain knowledge, and finally prove the feasibility of the knowledge graph through an example.