With the growing number and ubiquitous usage of Web services throughout the service-oriented community, the need to find service descriptions in a given repository, as well as composing them to a desired output, becomes a major issue in both research and corporate environments. Considering emerging semantic technologies and methods for service matching that is not limited to a mere syntactic level, the need for fast discovery and composition algorithms arises. In this paper we present a system created at the VitaLab in Vienna with the purpose to overcome the obstacles which are implications of both, large service repositories and large ontologies to describe semantic relations.
Citation:
Lukasz Juszczyk, Anton Michlmayr, Christian Platzer, Florian Rosenberg, Alexander Urbanec, Schahram Dustdar, "Large Scale Web Service Discovery and Composition using High Performance In-Memory Indexing," cec-eee, pp.509-512, The 9th IEEE International Conference on E-Commerce Technology and The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services (CEC-EEE 2007), 2007