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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weilong Ding Jing Wang Yanbo Han |
| Copyright Year | 2010 |
| Abstract | In current service composition efforts, the intermediate products such as data and related process fragments are neglected in many cases when the deviation occurs from predefined composition. The lack of adequate provenance support makes it not convenient when building the composition in an exploratory fashion. In this paper, we present ViPen model, and illustrate its operations to enhance the provenance for flexible deviation in service composition. Meanwhile, a partially ordered relation “derivation” is formed which guarantees the new derived processes can reuse previous knowledge effectively. A case study of one bioinformatics experiment is explained to verify our work. |
| Starting Page | 265 |
| Ending Page | 272 |
| File Size | 439513 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424481477 |
| DOI | 10.1109/SCC.2010.44 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biological system modeling Business Runtime Semantics Context Probes Proteins workflow flexibility provenance service composition |
| Content Type | Text |
| Resource Type | Article |
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