Research On The Key Technology Of Command And Control Knowledge Automation

In 21 century,the pattern of war is an integrated joint operation under the networking system,in order to achieve the military to become an interconnected network entity,create the information superiority of battlefield,and get the operational advantage,so as to realize the cooperative operation in the full sense,the command and control knowledge automation is a key issues that must be addressed.In the research field of command and control knowledge automation,we need to solve a lot of technical problems,and this paper focuses on the joint information environment in the field of command and control knowledge automation,the research work is carried out on the sharing,exchange and storage of all kinds of distributed massive heterogeneous battlefield information.First of all,aiming at the multi-source heterogeneous complex of the joint battlefield information,and the existing command and control information system has the problem of information "chimney",can not meet the needs of joint operations in the network system.Learning from the Semantic Web theory and knowledge engineering method,this paper proposes an overall framework for sharing,exchanging and storage of distributed mass-heterogeneous battlefields based on Semantic Web,to provide the basic theory support for the command and control knowledge automation.Second,when all the battlefield information is integrated into Resources Description Framework(RDF)data,in order to make existing command and control system based on relational database have access to shared information in the form of RDF,we combine Jena frame,ontology-relational database mapping and other techniques,and a method of transforming RDF data to relational database is proposed and implemented,so as to achieve the purpose of information sharing based on the unchanged arms of existing command and control system.Third,with the joint battlefield information exponential growth,traditional relational database can not satisfy the high-efficient RDF storage and query,the distributed storage of battlefield information RDF data is the inevitable trend of the future big data operation.In view of the present situation,we focus on the research and propose a Hadoop-based method for consistent RDF storage and query of massive battlefield information.Through building Hadoop Distributed File System(HDFS),weuse non-relational database HBase based on HDFS to achieve massive military RDF storage and query;in addition,in order to improve the efficiency of massive RDF storage,a method of data analysis by distributed computing MapReduce is also proposed,thus realize the high-efficient storage,real-time query and mining of massive RDF data,to provide a strong guarantee for combat decision.Fourth,based on the integrated development environment of Eclipse,this paper design and implement a prototype software platform for massive RDF data storage and query.The prototype software platform has the function of conversion of battlefield information RDF data to relational database,storage and query of massive battlefield information RDF data,distributed cluster state management,to verified the feasibility of the technical proposal,and provide strong support for joint operations.