The Design and Implementation of Data Cleaning Knowledge Modeling

Considering the limited extensibility of the current data cleaning tools, this paper designs a rule driven data cleaning knowledge modeling to solve this shortcoming. The modeling improves the efficiency of data cleaning and ensures the quality of data. It describes the design of some key technologies of the modeling, such as rule base, cleaning strategy, cleaning algorithm and data cleaning processing flow in detail. It also presents a dynamic verification, compilation and execution method by using the Object Pascal language which has the advantages of functionalism and logic.