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.
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