Learning to explore scientific workflow repositories

Abstract

Scientific workflows are gaining popularity, and repositories of workflows are starting to emerge. In this paper we describe TopicsExplorer, a data exploration approach for myExperiment.org, a collaborative platform for the exchange of scientific workflows and experimental plans. Our approach uses a variant of topic modeling with tags as features, and generates a browsable view of the repository. TopicsExplorer has been fully integrated into the open-source platform of myExperiment.org, and is available to users at www.myexperiment.org/topics. We also present our recently developed personalization component that customizes topics based on user feedback. Finally, we discuss our ongoing performance optimization efforts that make computing and managing personalized topic views of the myExperiment.org repository feasible.