Most previous solutions to the schema matching problem rely in some fashion upon identifying "similar" column names in the schemas to be matched, or by recognizing commo...
Most data integration applications require a matching between the schemas of the respective data sets. We show how the existence of duplicates within these data sets can be exploi...
Schema matching is one of the key challenges in information integration. It is a labor-intensive and time-consuming process. To alleviate the problem, many automated solutions have...
In this work we design algorithms for clustering relational columns into attributes, i.e., for identifying strong relationships between columns based on the common properties and ...
Validation of multi-column schema matchings is essential for successful database integration. This task is especially difficult when the databases to be integrated contain little o...
Bing Tian Dai, Nick Koudas, Divesh Srivastava, Ant...