{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/29731"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/29731","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Corporate housekeeping knowledge engineering and processing using extended COIN","abstract":"This thesis is divided into two parts. In the first half, I present the current research results from corporate householding knowledge exploration. They include the categories of corporate householding problems, the related research in data quality and family household, commercial approaches to corporate householding problems, and the various areas where corporate householding applies. In the second half of the thesis, I present the design and implementation of a technical solution to an important type of corporate householding problem - entity aggregation - using a motivational example in account consolidation. 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