Examining the Challenges of Provenance  
  Authors : Shridevi Erayya Hombal


In Scientific workflows provenance is a critical concept, since it allows the scientists to understand the origin of the results, to repeat their experiments, to validate set of processes that were used to derive the data products. During a discussion on provenance standardization at the International Provenance and Annotation Workshop (IPAW'06, www.ipaw.info), the community decided that it needs to understand the different representations used for provenance, its common aspects, and the reasons for its differences. As a result, the community agreed that a "Provenance Challenge" should be set to compare and understand existing approaches. This paper describes about the challenges of provenance.


Published In : IJCAT Journal Volume 6, Issue 12

Date of Publication : December 2019

Pages : 75-80

Figures :04

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Shridevi Erayya Hombal : Data Analytics, IIIT Bangalore Bangalore, 560100, India.








Provenance, Workflows















This paper introduced the provenance challenges and judges that the provenance challenges are highly successful, as measured with the number of participating teams, the quality of their submissions, discussions that resulted during the workshop. Whilst inter-operability is a pragmatic consideration, it entails fundamental studies questions. The fourth challenge remains a research activity, and the main purpose is to disseminate results.










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