Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2005
Abstract
When meeting the challenges in automatic and semi-automatic Web service composition, capturing the user's service demand and preferences is as important as knowing what the services can do. This paper discusses the idea of semantic service requests for composite services, and presents a way to model the elements of a composite service request as user preferences and constraints. The model is based on an interactive and iterative strategy meant to obtain the exact requirements from potential service consumers. The markup vocabularies and associated inference mechanism of OWL-S are used as a means to bring semantics to service requests. Language constructs are added to OWL-S as uniform representations of possible aspects of the requests. Using this model to represent the semantics of service requests enables the discovery agents to unambiguously understand the service need and precisely produce the desired composition. An application scenario is presented to illustrate how the proposed model can be applied to the real business world.
Keywords
Web services, Programming, Humans, Management information systems, Information management, Vocabulary, Inference mechanisms, Application software, Member services, Collaborative work
Discipline
Computer Sciences | Technology and Innovation
Research Areas
Information Systems and Management
Publication
2005 IEEE International Conference on e-Business Engineering (ICEBE): 12-18 October, Beijing, China: Proceedings
First Page
705
Last Page
712
ISBN
9780769524306
Identifier
10.1109/ICEBE.2005.121
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Citation
LIANG, Qianhui Althea; CHUNG, Jen-Yao; and MILLER, Steven M..
Towards Semantic Service Request of Web Service Composition. (2005). 2005 IEEE International Conference on e-Business Engineering (ICEBE): 12-18 October, Beijing, China: Proceedings. 705-712.
Available at: https://ink.library.smu.edu.sg/sis_research/591
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/ICEBE.2005.121