Automating Objective Data Quality Assessment (experiences
نویسنده
چکیده
The paper discusses the design goals, current architecture and overall experiences gained in the process of building a software tool aiding human analysts in estimating approximate information quality (information accuracy) of an unknown relational data source. We discuss the algorithms and techniques that we found effective. In particular, we discuss the automated reasoning techniques used to identify common data types for which known data quality rules exist and data mining algorithms discovering unknown probable data quality rules. Tool’s human interface issues are briefly overviewed. In this regard we discuss methods used for information quality rule scripting and graphical result presentation.
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