Learning to explore scientific workflow repositories

Julia Stoyanovich, Paramveer Dhillon, Brian Lyons, Susan B. Davidson

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Scientific workflows are gaining popularity, and repositories of workflows are starting to emerge. In this paper we de- scribe TopicsExplorer, a data exploration approach for my- Experiment.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 on- going performance optimization efforts that make computing and managing personalized topic views of the myExperiment. org repository feasible.

    Original languageEnglish (US)
    Title of host publicationSSDBM 2013 - Proceedings of the 25th International Conference on Scientific and Statistical Database Management
    DOIs
    StatePublished - 2013
    Event25th International Conference on Scientific and Statistical Database Management, SSDBM 2013 - Baltimore, MD, United States
    Duration: Jul 29 2013Jul 31 2013

    Publication series

    NameACM International Conference Proceeding Series

    Other

    Other25th International Conference on Scientific and Statistical Database Management, SSDBM 2013
    CountryUnited States
    CityBaltimore, MD
    Period7/29/137/31/13

    Keywords

    • Data exploration
    • Scientific workflows
    • Topic mining

    ASJC Scopus subject areas

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications

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