Improving Uncertain Data-Quality through Effective Use of Knowledge Base

Data quality issues have taken on increasing importance in recent years. In our research, we have discovered that data quality is uncertain because the perceived quality of the data is influenced by the task and that the same data may be viewed through two or more different quality lenses depending on the user and the user´ task it is used for. In order to improve uncertain data-quality, we construct a knowledge base to treat with different expectations of data quality. This knowledge-based approach enhances the flexibility and extensibility of the application, and can improve uncertain data-quality according to the user´s needs.