Knowledge Representation and Reasoning of Strong System Confrontation Process Based on Spatio-Temporal Event Evolution Information Flow and Software

With the advancement of modern warfare, the battlefield differs from traditional warfare and tends to involve strong system confrontations, involving multiple platforms and systems. The combat process is also more focused on military information systems, including the sharing of information and the process of command decision-making. This article studies the knowledge expression and reasoning process of strong system confrontation based on spatio-temporal event evolution information flow. By uniformly describing combat data and situational information, knowledge sharing and storage are facilitated. Based on temporal situational data, an event graph model is proposed for knowledge expression, and the relevant concepts and construction processes are defined. On this basis, logical relationships between events within and between events are expressed using AND/OR graphs. Based on this knowledge expression model, the AP clustering method is used to abstract a large number of events, extract key information, and use it for knowledge reasoning. The use of event graphs and AND/OR graphs enables computers to better understand human language, and a unified description framework makes shared knowledge possible.