An Effective IQ Assess Method before Information Action

Xu Zhi Lu; Lang Ning Huang

doi:10.4028/www.scientific.net/AMR.415-417.504

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 415-417An Effective IQ Assess Method before Information...

An Effective IQ Assess Method before Information Action

Abstract:

Information quality (IQ) research has continued to evolve over the past decades to reflect changes in its practice and a deeper understanding of its business impact. Since information quality essentially represents an organization’s implementation of its business processes, typically, IQ assessment is the result of information actions. Based on the information intension confirming, the method to assess IQ before the information action has been presented. The model established analyses the IQ at two levels: the Syntax level and Intent level. Lastly, The IQ from these two levels has been evaluated by using the IQ function matrix and the Pattern Recognition theory. The result indicates that the method could detect the IQ questions in time, diagnose, backdate the IQ problem position, and search the causation.

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Advanced Materials Research (Volumes 415-417)

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504-509

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.415-417.504

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Online since:

December 2011

Authors:

Xu Zhi Lu, Lang Ning Huang

Keywords:

Information Analysis, Information Intension, IQ Assessment, IQ Factor

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References

[1] Larry P. English, Improving Data Warehouse and Business Information Quality, New York: John Wiley & Sons, (1999)

Google Scholar

[2] Larry P. English，Total Information Quality Management：A Complete Methodology for IQ Management, DM Review,2003(9)

Google Scholar

[3] Lee, Y. Strong, D., Kahn, B., and Wang, R., "AIMQ: A Methodology for Information Quality Management, Information & Management, December 2002, Vol. 40, Issue 2, pp.133-146.

DOI: 10.1016/s0378-7206(02)00043-5

Google Scholar

[4] Wang， R．， Ziad， M， Lee， Y． Data Quality． Norwell， Massachusetts：Kluwer Academic Publishers， (2001)

Google Scholar

[5] Kuan-Tsae Huang, Yang W.Lee ,Richard Y.Wang，Quality Information and Knowledge，Prentice Hall PTR, 1999．

Google Scholar

[6] Wang, R., Allen, T., Harris, W. and Madnick, S., An Information Product Approach for Total Information Awareness, in 2003 IEEE Aerospace Conference. Big Sky, Montana, (2003)

DOI: 10.1109/aero.2003.1235228

Google Scholar

[7] Wang, R.Y. A Product Perspective on Total Data Quality Management. Communications of the ACM, 41, 2. (1998), 58-65．

Google Scholar

[8] Redman.T.,Data quality for the Information Age,Boston:Artech House,(1996)

Google Scholar

[9] R. Wang, J. Funk, Y. Lee, and L. Pipino, Journey to Data Quality. Cambridge, Massachusetts: MIT Press, (2001)

Google Scholar

[10] Amir h.parssian,assessing information quality for relation database, PHD dissertation, 2002, the university of Texa s at Dallas

Google Scholar