A Method of Web Service Content Auto-generating Based on AIS

Abstract

In the evaluation of self-organized algorithm for web service providers, we need a great deal of web service information. And these services should be of natural similar properties by which they will be grouped into several alliances. In this paper, we propose an auto-generating method for web service contents based on artificial immune system. First of all, a semantic tree is designed to define the range of the web service contents. Then, according to this semantic tree, we design a coding scheme for web service content following the principal of genetic variation. Finally, negative selection is imposed on the new content-data in the constraint of the similarity. The experimental results show that the coding scheme and control strategy reduce the complexity of the algorithm. And the visualization results show that these generated content-data get together under the designed algorithm.