Making a Fast Semantic Service Composition System Faster

Service Oriented Architecture (SOA) is a flexible soft-ware design paradigm for enterprises. The workflows of a company are implemented as services which can be arranged, updated and managed at runtime without inter-fering with ongoing business. Service management aims at providing undisturbed access to services. Its efficiency strongly depends on a fast response time in the case of a fail-ure. This is hard to achieve since the relations between ap-plications and services require comprehensive knowledge and lack transparency for administrators. Self-organizing approaches promise a solution by automating service dis-covery. In this paper we present a service discovery system which enables service compositions from semantic descrip-tions stored in a knowledge base. Therefore, it utilizes mul-tiple composition algorithms from which the most appropri-ate set is selected and applied according to the size of the knowledge base and the available processors. The function-ality of our system is made available through a Web Service interface itself. It is thus applicable in self-organizing ser-vice management systems with any number of services and ontologies. 1