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
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/4047 |
| Date | 06 February 2004 |
| Creators | Madnick, Stuart, Wang, Richard, Xian, Xiang |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Type | Working Paper |
| Format | 504621 bytes, application/pdf |
| Relation | MIT Sloan School of Management Working Paper;4439-03 |
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