Corporate Householding Knowledge Engineering and Processing Using Extended COIN

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. The proposed technical approach uses extended COntext INterchange (COIN) technology to manage and process corporate householding knowledge. Thesis Supervisor: Dr. Stuart Madnick Title: John Norris Maguire Professor of Information Technology / MIT Sloan School of Management & Professor of Engineering Systems / MIT School of Engineering