Empowering Web Service Search with Business Know-How
Isabelle Mirbel (INRIA Sophia Antipolis / Laboratoire I3S), Pierre, Crescenzo, Nadia Cerezo
TL;DR
This paper introduces SATIS, a reasoning framework that enhances web service search by capturing and utilizing business know-how, bridging the gap between workflow providers and users.
Contribution
It presents SATIS, a novel approach for reasoning and traceability in web service business know-how, addressing user needs in scientific workflow search.
Findings
SATIS improves web service search relevance.
Provides reasoning and traceability for business know-how.
Bridges gap between workflow providers and users.
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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