Conclusion
Both of the models presented in this chapter define data quality by extending the relational model. The Polygen Model resolves the data source tagging and intermediate source tagging problems. It addresses issues in heterogeneous distributed database systems from the “where” perspective and thus enables us to interpret data from different sources more accurately. Furthermore, it follows the relational model by specifying the data structure and data manipulation components of the data model. However, it does not include the data integrity component. The Attribute-based Model, on the other hand, allows for the structure, storage, and processing of quality relations and quality indicator relations through a quality indicator algebra. In addition, it includes a description of its data structure, a set of data integrity constraints for the model, and a quality indicator algebra.
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(2002). Extending the Relational Model to Capture Data Quality Attributes. In: Data Quality. Advances in Database Systems, vol 23. Springer, Boston, MA. https://doi.org/10.1007/0-306-46987-1_2
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