Multidimensional Contexts for Data Quality Assessment

  title={Multidimensional Contexts for Data Quality Assessment},
  author={Aida Malaki and Leopoldo E. Bertossi and Flavio Rizzolo},
The notion of data quality cannot be separated from the context in which the data is produced or used. Recently, a conceptual framework for capturing context-dependent data quality assessment has been proposed. According to it, a database D is assessed wrt. a context which is modeled as an external system containing additional data, metadata, and definitions of quality predicates. The instance D is “put in context” via schema mappings; and after contextual processing of the data, a collection… CONTINUE READING


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