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JCSE, vol. 2, no. 3, pp.221-248, September, 2008


A Semiotics Framework for Analyzing Data Provenance Research

Sudha Ram, Jun Liu
Department of MIS, Eller College of Management, University of Arizona, Tucson, USA

Abstract: Data provenance is the background knowledge that enables a piece of data to be interpretedand used correctly within context. The importance of tracking provenance is widely recognized,as witnessed by significant research in various areas including e-science, homeland security,and data warehousing and business intelligence. In order to further advance the research ondata provenance, however, one must first understand the research that has been conducted todate and identify specific topics that merit further investigation. In this work, we develop aframework based on semiotics theory to assist in analyzing and comparing existing provenanceresearch at the conceptual level. We provide a detailed review of data provenance research andcompare and contrast the research based on a semiotics framework. We conclude with anidentification of challenges that will drive future research in this field.

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