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The Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data Quality

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  • Madnick, Stuart
  • Wang, Richard
  • Xian, Xiang

Abstract

Advances in Corporate Householding are needed to address certain categories of data quality problems caused by data misinterpretation. In this paper, we first summarize some of these data quality problems and our more recent results from studying corporate householding applications and knowledge exploration. Then we outline a technical approach to a Corporate Householding Knowledge Processor (CHKP) to solve a particularly important type of corporate householding problem - entity aggregation. We illustrate the operation of the CHKP by using a motivational example in account consolidation. Our CHKP design and implementation uses and expands on the COntext INterchange (COIN) technology to manage and process corporate householding knowled

Suggested Citation

  • Madnick, Stuart & Wang, Richard & Xian, Xiang, 2004. "The Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data Quality," Working papers 4439-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    • Handle: RePEc:mit:sloanp:4047
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    File URL: http://hdl.handle.net/1721.1/4047
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    References listed on IDEAS

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    1. Wang, Richard & Allen, Thomas & Harris, Wesley & Madnick, Stuart, 2003. "An Information Product Approach For Total Information Awareness," Working papers 4407-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
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    Cited by:

    1. Unsworth, Kerrie & Adriasola, Elisa & Johnston-Billings, Amber & Dmitrieva, Alina & Hodkiewicz, Melinda, 2011. "Goal hierarchy: Improving asset data quality by improving motivation," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1474-1481.

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