Mapping and Cleaning
The authors address the challenging and open problem of bringing together two crucial activities in data integration and data quality, i.e., transforming data using schema mappings, and fixing conflicts and inconsistencies using data repairing. This problem is made complex by several factors. Schema mappings and data repairing have traditionally been considered as separate activities, and research has progressed in a largely independent way in the two fields. The elegant formalizations and the algorithms that have been proposed for both tasks have had mixed fortune in scaling to large databases.