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

Journal of Management Information Systems

Volumn 20, Issue 3, 2003, Pages 41-70

  Madnick, Stuart ^a,b,c   Wang, Richard ^d,e   Xian, Xiang ^f,g,h  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c School of Engineering

^d MIT Information Quality Program   (United States)

^e MIT Total Data Qual Mgmt Program

^f National Engineering Honor Society   (United States)

^g Natl Society of Collegiate Scholars

^h ORACLE CORPORATION   (United States)

Author keywords

Context mediation; Corporate household; Corporate householding; Data quality; Database interoperability; Enterprise knowledge management

Indexed keywords

DATABASE SYSTEMS; ENTERPRISE RESOURCE PLANNING; INTEROPERABILITY; KNOWLEDGE ENGINEERING; QUALITY CONTROL; TECHNOLOGY;

CONTEXT MEDIATION; DATA QUALITY; KNOWLEDGE PROCESSORS;

DATA PROCESSING;

EID: 1342347426     PISSN: 07421222     EISSN: None     Source Type: Journal    
DOI: 10.1080/07421222.2003.11045772     Document Type: Article

References (18)

1. Becerra-Fernandez, I., and Sabherwal, R. Organizational knowledge management: A contingency perspective. Journal of Management Information Systems, 18, 1 (Summer 2001), 23-56.
2. Bielecki, T.R., and Rutkowski, M. Credit Risk: Modeling, Valuation and Hedging. Berlin: Springer-Verlag, 2002.
3. Bressen, S.; Goh, C.H.; Levina, N.; Shah, A.; Madnick, S.; and Siegel, M. Context knowledge representation and reasoning in the context interchange system. Applied intelligence: The International Journal of Artificial Intelligence, Neutral Networks, and Complex Problem-Solving Technologies, 12, 2 (2000),165-179.
4. Epstein, D.G. Bankruptcy and Related Law in a Nutshell. St. Paul, MN: West Group, 2002.
5. Firat, A.; Madnick, S.; and Grosof, B. Knowledge integration to overcome ontological heterogeneity: Challenges from financial information systems. Paper presented at the International Conference on Information Systems (ICIS). Barcelona, Spain, December 2002.
6. Firat, A.; Madnick, S.; and Grosof, B. Financial information integration in the presence of equational ontological conflicts. Paper presented at the Workshop on Information Technology and Systems (WITS). Barcelona, Spain, December 2002.
7. Goh, C.H.; Bressan, S.; Madnick, S.; and Siegel, M. Context interchange: New features and formalisms for the intelligent integration of information. ACM Transactions on Office Information Systems, 17, 3 (July 1999), 270-293.
8. Gold, A.H.; Malhotra, A.; and Segars, A.H. Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18, 1 (Summer 2001), 185-214.
9. Lee, P. Metadata representation and management for context mediation. Composite Information Systems Laboratory Working Paper No. 2003-01, MIT, Cambridge, MA, 2003.
10. Madnick, S. Metadata Jones and the Tower of Babel: The challenge of large-scale semantic heterogeneity. In R. Coyne, M. Jones, and B. Kobler (eds.), Proceedings of the 1999 IEEE Meta-Data Conference. Los Alamitos, CA: IEEE Computer Society Press (available at www.llnl.gov/liv_comp/metadata/md99/md99.html).
11. Madnick, S., and Wang, R.Y. Corporate household knowledge processing: Challenges, concepts, and solution approaches. Sloan Working Paper #4222-01, Massachusetts Institute of Technology and Composite Information Systems Laboratory Working Paper #2001-09, MIT, Cambridge, MA, 2001.
12. Madnick, S.; Wang, R.Y.; and Zhang, W. A framework for corporate householding. In C. Fisher and B. Dabidson (eds.), Proceedings of the Seventh International Conference on Information Quality. Cambridge, MA: MIT Total Quality Management Program, 2002, pp. 36-40.
13. Madnick, S.; Wang, R.Y.; Dravis, F.; and Chen, X. Improving the quality of corporate household data: Current practices and research directions. In E. Pierce and R. Katz-Haas (eds.), Proceedings of the Sixth International Conference on Information Quality. Cambridge, MA: MIT Total Data Quality Management Program, 2001, pp. 92-104.
14. Madnick, S.; Wang, R.Y.; Chettayar, K.; Dravis, F.; Funk, J.; Katz-Haas, R.; Lee, C.; Lee, Y.; Xian, X.; and Bhansali, S. Exemplifying business opportunities from corporate household research. Advances in Management Information Systems (AMIS), forthcoming 2004.
15. Shankaranarayan, G.; Ziad, M.; and Wang, R.Y. Managing data quality in dynamic decision environments: An information product approach. Journal of Database Management Systems, 14, 4 (2003), 14-32.
16. Wang, R.Y., and Strong, D.M. Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12, 4 (Spring 1996), 5-32.
17. Wang, R.Y., and Madnick, S. Evolution towards strategic applications of data bases through composite information systems. Journal of Management Information Systems, 5, 2, (Fall 1988), 5-22.
18. Wang, R.Y.; Allen, T.; Harris, W.; and Madnick, S. An information product approach for total information awareness. Paper presented at the IEEE Aerospace Conference. Big Sky, Montana, March 2003.