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A Logical Model of Conceptual Integrity in Data Integration

Published

Author(s)

David W. Flater

Abstract

Conceptual integrity is required for the result of data integration to be cohesive and sensible. Compromised conceptual integrity results in semantic faults, which are commonly blamed for latent integration bugs. A logical model of conceptual integrity in data integration and a simple example application are presented. Unlike constructive models that attempt to prevent semantic faults, this model allows both correct and incorrect integrations to be described. Imperfect legacy systems can therefore be modeled, allowing a more formal analysis of their flaws and the possible remedies.
Citation
Journal of Research of the National Institute of Standards and Technology
Volume
108 : 5

Keywords

abstraction, data, integration, logic, semantics

Citation

Flater, D. (2003), A Logical Model of Conceptual Integrity in Data Integration, Journal of Research of the National Institute of Standards and Technology, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822054 (Accessed May 21, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created August 1, 2003, Updated February 17, 2017