An Automatic Model Transformation Methodology to Serve Web Service Composition Data Transforming Problem

Web service composition, as one of the key aspects in web service domain, has attracted more and more research attentions. Generally, in order to provide a powerful function to a specific problematic, several web services should combine and work together. Such a collaboration of web services is regarded as web service composition. There are two main difficulties in web service composition: selecting web services as partners and making interactions among these web services. A web service works as a functional black box, it takes in inputs and generates outputs. For a specific web services, both the inputs and the outputs are in specific formats. In order to make interactions among web services, it is necessary to be synergistic among their inputs and outputs. To generate specific inputs for a particular web service, the outputs from one or several other web services should transform the formats and combine together. This paper presents an automatic model transformation methodology, which focuses on transforming and combining outputs to generate inputs for web services. This automatic model transformation methodology regards all web services´ inputs and outputs as models. In order to do the transformation and combination process efficiently and effectively, syntactic checking and semantic checking measurements have been combined into a refined model transformation process.