An Approach To QoS-Driven Engine For Spatial Knowledge Processing

On the basis of introducing our knowledge collaborative processing model (KCPM) to support spatial domain problem solving, this study puts forward a self-adaptive QoS structure oriented to spatial knowledge mining, collaborative management, composite model resource sharing and real-time data resource sharing in the spatial domain. Then, we put our further research on knowledge collaborative processing mechanism and active control tactics for the spatial domain problem distributed solving, which will help to realize the collaborative processing mode on spatial domain model resource and data resource sharing under the computer supported cooperative work (CSCW) environment. Furthermore, take the spatial pilot intelligent assistant (PIA) as an example, this study develops a QoS-driven engine for knowledge collaborative processing platform oriented to spatial complicated problem solving. Therefore, the capability of spatial multi-dimension collaborative communications and commands controlling on solving spatial domain problem is highly enhanced, so that the effective strategic active status will be rapidly achieved in the future spatial domain applications.