Oh, so that is what you meant! the interplay of data quality and data semantics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2813, Issue , 2003, Pages 3-13

  Madnick, Stuart ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

COntext INterchange; Corporate Householding; Data Quality; Data Semantics; Knowledge Management

Indexed keywords

DATA REDUCTION; KNOWLEDGE MANAGEMENT; SEMANTICS;

CONTEXT INTERCHANGES; CORPORATE HOUSEHOLDING; DATA QUALITY; DATA SEMANTICS; KNOWLEDGE PROCESSING; KNOWLEDGE STORAGE; SEMANTIC PROBLEMS;

DIGITAL STORAGE;

EID: 0142188048     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39648-2_2     Document Type: Article

References (10)

1. Brown, J.S. and P. Duguid, Organizational learning and communities of practice: toward a unified view of working, learning, and innovation. Organization Science, 1991. 2(1): p. 40-57.
2. Constant, D., L. Sproull, and S. Kiesler, The kindness of strangers: The usefulness of electronic weak ties for technical advice. Organizational Science, 1996. 7(2): p. 119-135.
3. Goh, C.H., et al., Context Interchange: New Features and Formalisms for the Intelligent Integration of Information. ACM Transactions on Information Systems, 1999. 17(3): p. 270-293.
4. Kotler, P., Marketing Management: Analysis, Planning, Implementation, and Control. 9th ed. 1997: Prentice Hall.
5. Madnick, S., et al. Corporate Household Data: Research Directions, in AMCIS 2001. 2001. Boston, Massachusetts.
6. Madnick, S., et al. Improving the Quality of Corporate Household Data: Current Practices and Research Directions. in Sixth International Conference on Information Quality. 2001. Cambridge, MA.
7. Madnick, S. and R. Wang, The Inter-Database Instance Identification Problem in Integrating Autonomous Systems. in Fifth International Data Engineering Conference February 1989. Los Angeles, CA.
8. Nonaka, I., A Dynamic Theory of Organizational Knowledge Creation. Organization Science, 1994. 5(1): p. 14-37.
9. Siegel, M. and Madnick, S. Context Interchange: Sharing the Meaning of Data. SIGMOD RECORD, Vol. 20, No. 4, December 1991, p. 77-78.
10. Siegel; M. and Madnick, S. (1991). A metadata approach to solving semantic conflicts. in Proc of the 17th International Conference on Very Large Data Bases, 1991, pp. 133-145.