The Research of Automatic Dynamic Service Composition Based on Causal Relationship Matrix

In order to increase the speed and accuracy of the dynamic service composition in satellite information resource area,this text proposed a combined method based on causal relationship matrix and Graph theory.Firstly,it screens out a service composition from user demands through semantic matching,then a matrix of matching degree between service inputs and service output is structured according to the rules of causal relationship matrix.By making use of relationship matrix,a set of service chain is made fast and accurately,via selecting corresponding services in the matrix through the graphical combinational algorithm.Furthermore,it picks out the service combination product that best fitting user requirements on the basis of non-functional attribute value of each service chains.This method maximums the use of dependency among every services,and increases the speed of matching corresponding nodes during the process of combining service chain.