Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/17880
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- Title
- A rule driven approach for developing adaptive service oriented business collaboration
- Related
- 2006 IEEE international conference on services computing (SCC 2006) (18-22 September, 2006 : Chicago, IL)
- Related
- Proceedings of 2006 IEEE international conference on services computing (SCC 2006)
- DOI
- 10.1109/SCC.2006.14
- Publisher
- United States : IEEE Computer Society
- Date
- 2006
- Author/Creator
- Orriens, Bart
- Author/Creator
- Yang, Jian
- Description
- Current composite Web service development and management solutions, e.g. BPEL, do not cater for flexible and adaptive business collaborations due to their pre-defined and inflexible nature that precludes them accommodating business dynamics. In this paper we propose a rule driven approach for adaptive business collaboration development in which rules drive and govern the development process. We firstly introduce the business collaboration context framework (BCCF), which provides enterprises with the context required for business collaboration. We then explain our model driven approach with which enterprises can capture this context in business collaboration models. Subsequently we demonstrate how we utilize rules to drive the development and management of such models, as such facilitating flexible and adaptive business collaboration.
- Description
- 8 page(s)
- Subject Keyword
- business data processing
- Subject Keyword
- groupware
- Resource Type
- conference paper
- Organisation
- Macquarie University. Dept. of Computing
- Identifier
- http://hdl.handle.net/1959.14/17880
- Identifier
- ISBN:0769526705
- Identifier
- mq-rm-2006003751
- Language
- eng
- Rights
- Copyright 2006 IEEE. Reprinted from Proceedings of 2006 IEEE international conference on services computing (SCC 2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or 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 must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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