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

Stuart Madnick, Richard Wang and Xiang Xian

No 4439-03, Working papers from Massachusetts Institute of Technology (MIT), Sloan School of Management

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

Keywords: Corporate Household; Corporate Householding; Data Quality; Context Mediation; COntext INterchange; Enterprise Knowledge Management; Database Interoperability (search for similar items in EconPapers)
Date: 2004-02-06
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Citations: View citations in EconPapers (1)

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