DocumentCode :
3207106
Title :
Large Scale Web Service Discovery and Composition using High Performance In-Memory Indexing
Author :
Juszczyk, Lukasz ; Michlmayr, Anton ; Platzer, Christian ; Rosenberg, Florian ; Urbanec, Alexander ; Dustdar, Schahram
Author_Institution :
Vienna Univ. of Technol., Vienna
fYear :
2007
fDate :
23-26 July 2007
Firstpage :
509
Lastpage :
512
Abstract :
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.
Keywords :
Web services; data mining; indexing; semantic Web; VitaLab; high performance in-memory indexing; large scale Web service discovery; semantic technologies; service matching; service-oriented community; Indexing; Information retrieval; Large-scale systems; Ontologies; Query processing; Web and internet services; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Commerce Technology and the 4th IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services, 2007. CEC/EEE 2007. The 9th IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7695-2913-5
Type :
conf
DOI :
10.1109/CEC-EEE.2007.60
Filename :
4285263
Link To Document :
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