Services computing technology enables scientists to expose data and computational resources wrapped as publicly accessible Web services. However, our study indicates that scientific services are currently poorly reused in an ad hoc style. This research aims to help domain scientists find interested services and reuse successful processes to attain their research purposes in the form of workflows. This research proposes a novel approach of proactively recommending services in a workflow composition process, based on service usage history. The underpinning is a People-Service-Workflow (PSW) network that models existing scientific artifacts, services and workflows, and their past usage relationships into a social network. A prototyping search engine has been developed as a proof of concept, and is seamlessly integrated as a plug-in into the Taverna workbench, a widely used scientific workflow management tool.
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