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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:
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