Show simple item record

dc.contributor.authorMadnick, Stuart
dc.contributor.authorWang, Richard
dc.contributor.authorXian, Xiang
dc.date.accessioned2004-02-06T20:21:59Z
dc.date.available2004-02-06T20:21:59Z
dc.date.issued2004-02-06T20:21:59Z
dc.identifier.urihttp://hdl.handle.net/1721.1/4047
dc.description.abstractAdvances 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 knowleden
dc.format.extent504621 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesMIT Sloan School of Management Working Paper;4439-03
dc.subjectCorporate Householden
dc.subjectCorporate Householdingen
dc.subjectData Qualityen
dc.subjectContext Mediationen
dc.subjectCOntext INterchangeen
dc.subjectEnterprise Knowledge Managementen
dc.subjectDatabase Interoperabilityen
dc.titleThe Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data Qualityen
dc.typeWorking Paperen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record