Cited By
View all- Xu XYe XZhu LLu Q(2019)Role network model-based support for RESTful business processesData & Knowledge Engineering10.1016/j.datak.2014.08.00194:PA(38-64)Online publication date: 1-Jan-2019
Modeling service orchestrations with a rule-enhanced business process language
Pages 70 - 85
Abstract
Business process modeling has been a promising direction in developing service compositions, including both service orchestrations and choreographies. This paper fully focuses on the problem of modeling service orchestrations. Despite many promising aspects of using business process modeling (BPM) languages for modeling service orchestrations, this paper aims to demonstrate that: i) best practices (workflow patters) for control flows (primary concern of service orchestrations) are not fully covered in present languages; ii) complete service compositions cannot be completely generated from business process models; and iii) BPM languages have limited support for representing logical expressions, business vocabularies, and business rules, which severely limits their flexibility and expressivity. To address these challenges, we have integrated business rule modeling constructs of the REWERSE Rule Markup Language (R2ML) with the Business Process Modeling Notation (BPMN), resulting in our rBPMN proposal.
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Index Terms
- Modeling service orchestrations with a rule-enhanced business process language
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Information & Contributors
Information
Published In
November 2009
392 pages
- Conference Chairs:
- Joanna Ng,
- Christian Couturier,
- Editors:
- Patrick Martin,
- Anatol W. Kark,
- Darlene Stewart,
- Program Chairs:
- Anatol W. Kark,
- Patrick Martin
Sponsors
- IBM Toronto Software Lab
- IBM Centers for Advanced Studies (CAS)
Publisher
IBM Corp.
United States
Publication History
Published: 02 November 2009
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Overall Acceptance Rate 24 of 90 submissions, 27%
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View all- Xu XYe XZhu LLu Q(2019)Role network model-based support for RESTful business processesData & Knowledge Engineering10.1016/j.datak.2014.08.00194:PA(38-64)Online publication date: 1-Jan-2019
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