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Semi-automatic distribution pattern modeling of web service compositions using semantics

Barrett, Ronan and Pahl, Claus orcid logoORCID: 0000-0002-9049-212X (2006) Semi-automatic distribution pattern modeling of web service compositions using semantics. In: EDOC 2006 - 10th IEEE International Enterprise Distributed Object Computing Conference, 16-20 October 2006, Hong Kong. ISBN 0-7695-2558-X

Enterprise systems are frequently built by combining a number of discrete Web services together, a process termed composition. There are a number of architectural configurations or distribution patterns, which express how a composed system is to be deployed. Previously, we presented a Model Driven Architecture using UML 2.0, which took existing service interfaces as its input and generated an executable Web service composition, guided by a distribution pattern model. In this paper, we propose using Web service semantic descriptions in addition to Web service interfaces, to assist in the semi-automatic generation of the distribution pattern model. Web services described using semantic languages, such as OWL-S, can be automatically assessed for compatibility and their input and output messages can be mapped to each other.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/EDOC.2006.49
Copyright Information:©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Irish Research Council for Science Engineering and Technology
ID Code:15949
Deposited On:09 Dec 2010 12:05 by Shane Harper . Last Modified 22 Jan 2021 14:04

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