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

29 Pages Posted: 29 Oct 2003  

Stuart Madnick

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Richard Y. Wang

Massachusetts Institute of Technology (MIT)

Xiang Xian

Massachusetts Institute of Technology (MIT) - Department of Electrical Engineering

Date Written: October 2003

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 knowledge.

Keywords: Corporate Household, Corporate Householding, Data Quality, Context Mediation, COntext INterchange, Enterprise Knowledge Management, Database Interoperability

Keywords: Corporate Household, Corporate Householding, Data Quality, Context Mediation, COntext INterchange, Enterprise Knowledge Management, Database Interoperability

Suggested Citation

Madnick, Stuart and Wang, Richard Y. and Xian, Xiang, The Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data Quality (October 2003). MIT Sloan Working Paper No. 4439-03. Available at SSRN: https://ssrn.com/abstract=461001 or http://dx.doi.org/10.2139/ssrn.461001

Stuart E. Madnick (Contact Author)

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

E53-321
Cambridge, MA 02142
United States
617-253-6671 (Phone)
617-253-3321 (Fax)

Richard Y. Wang

Massachusetts Institute of Technology (MIT) ( email )

E53-317
Cambridge, MA 02139
United States
617-253-0442 (Phone)
617-253-3321 (Fax)

Xiang Xian

Massachusetts Institute of Technology (MIT) - Department of Electrical Engineering ( email )

50 Memorial Drive
Cambridge, MA 02139-4307
United States

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