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Adaptive Search and Learning-Based Approaches for Automatic Web Service Composition
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Author(s): Nikola Milanovic (Technical University Berlin, Germany)and Miroslaw Malek (Humboldt University Berlin, Germany)
Copyright: 2008
Pages: 54
Source title:
Web Services Research and Practices
Source Author(s)/Editor(s): Liang-Jie Zhang (Shenzhen University, China)
DOI: 10.4018/978-1-59904-904-5.ch006
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Abstract
We investigate architectural properties required for supporting automatic service composition. First, composable service architecture will be described, based on modeling Web services as abstract machines supported by formally defined composition operators. Based on the proposed infrastructure, we introduce and analyze several options for achieving automatic service composition by treating it as a search problem. Namely, basic heuristic search, probabilistic, learning-based, decomposition, and bidirectional automatic composition mechanisms will be presented and compared. Finally, we discuss the impact and outlook for automatic composition.
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