Using Service Clustering to Facilitate Process-Oriented Semantic Web Service Discovery
Ping Sun, Changjun Jiang · Chinese Journal of Computers · 2009
The discovery of suitable Web services for a given user requirement is one of the central operations in Service-oriented Architectures. With the popularization of Web services, researches on minimizing the discovery duration and improving precision ration are getting more important. This paper proposes a mechanism to support semantic Web service discovery. Petri net is adopted as a modeling language for the specification of service process model. On the one hand, the methodology of service clustering groups similar services according to the functional similarity and process similarity. The utilization of service clustering can potentially enable service matchmaker to significantly reduce the overhead, deploy the discovery of candidate services quickly. On the other hand, for a service request, a service matchmaker compares the functionality compatibility and process consistency with the candidate services. It is an extension of previous functionality-driving service matchmaking approaches, thus leading to more accurate matchmaking. In the end, some simulation results are demonstrated to show the effectiveness of the proposed method.