Volume 7 Number 8 (Aug. 2012)
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JSW 2012 Vol.7(8): 1905-1910 ISSN: 1796-217X
doi: 10.4304/jsw.7.8.1905-1910

Provenance Management for Data Quality Assessment

Hua Zheng1, 2, Qinghua Zhu3, and Kewen Wu3
1School of Management and Engineering, Nanjing University, Nanjing, Jiang Su, China, 210093
2Department of Computer and Information Management, GuangXi University of Finance and Economics, Nanning, GuangXi, China, 530003
3Department of Information Management, Nanjing University, Nanjing, Jiang Su, China, 210093

Abstract—The ultimate goal of data quality management (DQM) is to improve the data quality (DQ) to facilitate enterprises decision-making, and the data quality assessment (DQA) is an important aspect in the process of DQM. Existing research in DQA focuses on the establishment of evaluation indicators and quantified methods in specific areas of application, but does not take into account the evolution of the data. For the current context of complex heterogeneous data environment, DQA framework based on provenance and SOA is designed, and provenance management process is focused to describe, finally the provenance model is defined and implemented. Overall, an example described in the paper demonstrates the necessity and feasibility of introducing provenance into DQA.

Index Terms—Data quality management, Data quality assessment, Provenance, SOA, SPARQL


Cite: Hua Zheng, Qinghua Zhu, and Kewen Wu, "Provenance Management for Data Quality Assessment," Journal of Software vol. 7, no. 8, pp. 1905-1910, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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