IDPC-XML: Integrated Data Provenance Capture in XML

Abstract

In the contemporary world, data provenance is an acute issue in the world of www due to its openness of the Web and the ease of copying and combining interlinked data from different database sources. The term data provenance is defined as lineage of data and movement between databases. Scientists and enterprises use their own analytical tools to process the data provenance. In the current scenario, workflow management systems are popular in scientific domains due to the level of standardization of data formats and analysis. Using graph visualizations, scientists can easily view the data provenance associated with a scientific workflow of any data to understand the methodology and to validate the results. In this paper, we emphasize on a tool-based PROV-DM for collecting provenance data in the XML file and visualizing it as directed graph. We also propose an approach named IDPC-XML for processing and managing the internal data using XML file. This tool collects data provenance obtrusively in a local system using self-generated log and also collects provenance data in XML format which can be visualized as a directed graph to understand the convergence. Relevant case studies of IDPC-XML are discussed and further research scope is pinpointed.