SECYFeb 24, 2015

Empowering Web Service Search with Business Know-How

arXiv:1502.06735v13 citations
Originality Synthesis-oriented
AI Analysis

This work aims to bridge the gap between workflows providers and users in scientific domains, but appears incremental as it builds on existing intentional process modeling.

The paper tackles the problem of searching for web services by addressing business users' needs in scientific workflows, proposing the SATIS approach to provide reasoning and traceability capabilities for web services business combination know-how.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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