A Case-Based Reasoning approach to support web service composition

With the Internet development, lots of Web services have been exposed increasingly on the Internet. These web services always are owned by different companies and organizations, and are geographically distributed. How to compose these web services together to fulfill a business process is usually a challenge issue. Case-Based Reasoning (CBR) is a problem solving paradigm. It uses successful experiences in past to solve similar problems at present or/and in the future. In this paper, a set of approaches to support web service composition based on CBR is presented for case retrieval. The method of semantic-driven similarity assessment for web services is also described. The indexing technology is adopted to organize the case base to improve the retrieval efficiency. In addition, case adaptation strategy for web services is employed to make a CBR system more robust than usual. At last, the experiments and analysis processes are also addressed.