• DocumentCode
    1913221
  • Title

    Re-Using Workflow Fragments across Multiple Data Domains

  • Author

    Sethi, Ricky J. ; Hyunjoon Jo ; Gil, Yolanda

  • Author_Institution
    Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, CA, USA
  • fYear
    2012
  • fDate
    10-16 Nov. 2012
  • Firstpage
    90
  • Lastpage
    99
  • Abstract
    In this paper, we demonstrate the ability to reuse workflow fragments in different data domains: from text analytics to image analysis to video activity recognition. We highlight how the re-use of workflows allows scientists to link across disciplines and avail themselves of the benefits of interdisciplinary research beyond their normal area of expertise. In addition, we present an in-depth study of a Social Media Analysis (SMA) task, wherein we show how the re-use of workflow fragments can extend a pre-existing, rudimentary analysis; we also examine how workflow fragments save time and effort in SMA while bringing together multiple areas of machine learning and computer vision.
  • Keywords
    image recognition; social networking (online); text analysis; video signal processing; SMA task; computer vision; data domain; image analysis; machine learning; rudimentary analysis; social media analysis; text analytics; video activity recognition; workflow fragment reuse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-1-4673-6218-4
  • Type

    conf

  • DOI
    10.1109/SC.Companion.2012.24
  • Filename
    6495806