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 December 26, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
A Logical Model of Conceptual Integrity in Data Integration
Published
Author(s)
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
Pub Type
Journals
Download Paper
Keywords
abstraction, data, integration, logic, semantics
Citation
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