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Empowering Web Service Search with Business Know-How: Application to Scientific Workflows

Empowering Web Service Search with Business Know-How: Application to Scientific Workflows
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Author(s): Isabelle Mirbel (Université de Nice Sophia-Antipolis, France), Pierre Crescenzo (Université de Nice Sophia-Antipolis, France) and Nadia Cerezo (Université de Nice Sophia-Antipolis, France)
Copyright: 2012
Pages: 17
Source title: Computer Engineering: Concepts, Methodologies, Tools and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-61350-456-7.ch606

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Abstract

Scientists who are not proficient in computer science and yet wish to perform in-silico experiments and harness the power of Service Oriented Architecture are presented with dozens of daunting technical solutions: scientific workflow frameworks. While these systems do take care of complex technical aspects such as Grid technologies, little is done to support transfer of service composition knowledge and know-how. The authors of this chapter believe the problem lies in the scientific workflow models which are too low-level and too anchored in the underlying technologies to allow efficient reuse and sharing. This chapter’s approach, called SATIS, relies on a goal-driven model, that has proven its worth in requirement engineering, and the Semantic Web technologies to leverage the collective knowledge and know-how in order to bridge the gap between service providers and end-users.

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