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Empowering Web Service Search with Business Know-How
February 24, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Isabelle Mirbel, Pierre Crescenzo, Nadia Cerezo
arXiv ID
1502.06735
Category
cs.SE: Software Engineering
Cross-listed
cs.CY
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this paper, we propose first to start by presenting a state of the art of existing approaches about scientific workflows (including neuroscience workflows) in order to highlight business users' needs in terms of Web Services combination. Then we discuss about intentional process modeling for scientific workflows especially to search for Web Services. Next we present our approach SATIS to provide reasoning and traceability capabilities on Web Services business combination know-how, in order to bridge the gap between workflows providers and users.
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