— Web and information grow in size and diversity. Likewise, Web services become difficult to be located or discovered regarding the huge number of the Web services exists today. Thus, the end user may face problem to find suitable Web services that meet his request. Usually, a skilled user or developer is required in order to discover and compose Web services. Increasingly, there is a need to automate Web Services aspects such as discovery and composition in such a way that enhance the interaction between services and the potential user. The proposed study aims to investigate the efficiency of using various type of Swarm Intelligent (SI) algorithms with somatic web technology in the Web services composition and also aims to investigate how can improve the overall composition process by applying an effective Web services discovering strategy based on semantic Web technology; on order to reduce the search space of candidate Web services.
— Semantic web services composition, user-centric, ant colony optimization.
The authors are with the National University of Malaysia (e-mail: firstname.lastname@example.org).
Cite: Ayman I. Srour, Zulaiha Ali Othman, and Abdul Razak Hamdan, " An Automatic Web Services Composition Model Using Ant Colony System," International Journal of Innovation, Management and Technology vol. 4, no. 4, pp. 435-438, 2013.