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Large Scale Web Service Discovery and Composition using High Performance In-Memory Indexing
National Center of Sciences, Tokyo, Japan July 23-July 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CEC-EEE.2007.60The 9th IEEE International Conference ...
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Lukasz Juszczyk, Vienna University of Technology
Anton Michlmayr, Vienna University of Technology
Christian Platzer, Vienna University of Technology
Florian Rosenberg, Vienna University of Technology
Alexander Urbanec, Vienna University of Technology
Schahram Dustdar, Vienna University of Technology
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
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