A Model To Capture Interaction Between Data Provenance And Workflow Provenance

Abstract

Provenance means origin. There are two types of Provenance namely Data Provenance and Workflow Provenance. Data Provenance refers to the process of recording and tracking the source or origin of data while workflow provenance means history of workflows and their data that were used while performing an operation to get required result. The results which are obtained while performing operations are called datasets. On these datasets, the queries are performed to get required result. While exploring provenance topic in data and workflow, the author have tried to explore how a model can be presented and discussed which can capture interaction between data provenance and workflow provenance. In this paper, the author have discussed further about provenance, its types and its importance and also discussed how to execute query on provenance data. The main focus of this study was on the model which captures interaction between workflow and data provenance including the above mentioned topics.