A Logical Model of Conceptual Integrity in Data Integration

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 appl...

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Detalles Bibliográficos
Autor principal: Flater, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2003
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847581/
https://www.ncbi.nlm.nih.gov/pubmed/27413618
http://dx.doi.org/10.6028/jres.108.034
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author Flater, David
author_facet Flater, David
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description 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.
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spelling pubmed-48475812016-07-13 A Logical Model of Conceptual Integrity in Data Integration Flater, David J Res Natl Inst Stand Technol Article 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. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2003 2003-10-01 /pmc/articles/PMC4847581/ /pubmed/27413618 http://dx.doi.org/10.6028/jres.108.034 Text en https://creativecommons.org/publicdomain/zero/1.0/ The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Article
Flater, David
A Logical Model of Conceptual Integrity in Data Integration
title A Logical Model of Conceptual Integrity in Data Integration
title_full A Logical Model of Conceptual Integrity in Data Integration
title_fullStr A Logical Model of Conceptual Integrity in Data Integration
title_full_unstemmed A Logical Model of Conceptual Integrity in Data Integration
title_short A Logical Model of Conceptual Integrity in Data Integration
title_sort logical model of conceptual integrity in data integration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847581/
https://www.ncbi.nlm.nih.gov/pubmed/27413618
http://dx.doi.org/10.6028/jres.108.034
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