TRS: System for Recommending Semantic Web Service Composition Approaches

A large number of semantic web service composition approaches are developed by the research community and one is more efficient than the other one depending on the particular situation of use. So a close look at the requirements of ones particular situation is necessary to find a suitable approach to use. In this paper, we present a Technique Recommendation System (TRS) which using a classification of state-of-art semantic web service composition approaches, can provide the user of the system with the recommendations regarding the use of service composition approach based on some parameters regarding situation of use. TRS has modular architecture and uses the production-rules for knowledge representation.




References:
[1] A. Alamri, M. Eid, A. E. Saddik, "Classification of the state-of-the-art
dynamic web services composition techniques", Int. J. web and grid
services, 2(2), 2006, pp 148-166.
[2] I. B. Arpinar, B. Aleman-Meza, R. Zhang, A. Maduko, "Ontology-
Driven web services composition platform", IEEE International
Conference on e-Commerce Technology, 2004, pp 46- 152.
[3] S. Dustdar, W. Schreiner, "A survey on web services composition", Int.
J. web and grid services, 1(1), 2005, pp 1-30.
[4] U. Kuster, M. Stern, B. Konig-Ries, "A Classification of Issues and
Approaches in automatic Service Composition", 1st Int. Workshop on
Engineering Service Compositions (WESC05) at ICSOC,05, Amsterdam,
Netherlands, 2005.
[5] J. Rao, X. Su, "A Survey of Automated Web service composition
methods", Proc: 1st international workshop of semantic web service and
web process composition, USA, 2004.