Construction of Military Knowledge Graph Based on Neo4j and MongoDB
Yun He, Xile Zhang, Feng Oi, Guozhen Xu, Guan Gui · 2022
In the future battlefield, how to dig out accurate and useful information from the battlefield, judge the potential connotation of target events and eliminate the “fog of war” is the key to winning the war. With the development of information technology, the sources of battlefield intelligence information are becoming more and more extensive, and problems such as excessive information, difficulty to distinguish true from false and different forms have emerged one after another. In order to solve the above problems, this paper constructs a panoramic military knowledge graph by analyzing the information char-acteristics of the military field and unifying the expression of massive multi-source heterogeneous military information, which not only realizes the mining and accumulation of knowledge in intelligence information but also establishes the association and fusion of multi-source heterogeneous intelligence information at the semantic level. In addition, the military knowledge graph is stored in Neo4j and MongoDB to provide an intuitive and applied representation of knowledge, respectively. Finally, proposing the application scenarios and future development directions based on the military knowledge graph are given.