摘要：In this paper, we present an intelligence analysis and processing system based on state classify for the Semantic Concept Network (SCN). We argue that due significant change in costs of computation and resource distribution, our system is particularly suitable for the SCN environment with important resources. One of the interesting natures of our system is that it provides time-sharing distribution of the offline resource, which allows the user to reuse the offline pre-computed information in assembly time, in contrast to one-time distribution in all previous Intelligence Analysis and Processing (IAP) classify systems. As evidence of the feasibility and practicality of our system to be used in the SCN environment, we provide an real implementation result of our system on the Micro-V platform.
