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Architecture of the Semantic Data Quality Management Framework (SDQM)

  • Christian Fürber
Chapter

Abstract

In this chapter, we define the objectives and justify the design decisions of the Semantic Data Quality Management framework (SDQM). We describe each component of SDQM’s architecture as illustrated in figure 26, namely (1) the data acquisition layer, (2) the data storage layer, (3) the data quality management vocabulary (DQM Vocabulary), (4) the data requirements editor, and (5) the reporting layer. The design of the architecture is based on the requirements identified in the previous chapter. The following sections are organized according to these major components of the SDQM.

Keywords

Data Requirement Data Quality Assessment Competency Question Data Quality Problem Data Quality Dimension 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Fachmedien Wiesbaden 2016

Authors and Affiliations

  1. 1.MünchenGermany

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