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

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

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/4047
Date06 February 2004
CreatorsMadnick, Stuart, Wang, Richard, Xian, Xiang
Source SetsM.I.T. Theses and Dissertation
Languageen_US
Detected LanguageEnglish
TypeWorking Paper
Format504621 bytes, application/pdf
RelationMIT Sloan School of Management Working Paper;4439-03

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