Research On Semantic Battlefield Situation Distribution Technology And Prototype System

The battlefield situation distribution aims to reproduce the key information needs and deliver the situation to the right users on demand according to the appropriate delivery method.It is an important part of information security and a key link to form information superiority.However,the current battlefield situation system has insufficient normative,targeted and efficient sharing distribution,which affects the commander’s accurate judgment of the battle situation.In view of the above shortcomings,research on semantic-based situation sharing distribution technology,the main work is as follows:(1)According to the description of the battlefield situation description,the battlefield situation semantic release subscription model is designed and designed,and the battlefield situation is described semantically by OWL language and RDF directed graph;(2)Focusing on the problem of insufficient distribution of battlefield situational distribution,focusing on the number of subscription submissions,and improving the semantic matching from two aspects: association rule matching method and attribute value dynamic matching method;(3)Focusing on the efficiency of the battlefield situation,focusing on the value of information,researching the information prioritization strategy based on information value,and proposing the information value measurement method and corresponding evaluation method;(4)To verify the feasibility of sharing technology based on semantic situation sharing,design and implement prototype system based on third-party simulation platform and database.Performance comparison experiments with different methods,The experimental results show that compared with the content-based Siena method,the improved semantic publishing subscription method improves the matching accuracy by88.4%,the push information user satisfaction by 118.9%,and reduces the number of users actively submitting subscriptions by 80.3%.