Duplicate Detection Exploiting Data Relationships

Duplicate detection consists in identifying multiple, different data base representations of a same real-world object. State-of-the-art duplicate detection systems usually concentrate on identifying duplicates in a single relational table and thereby ignore that the data may exist in a larger context that, when considered, can significantly improve the performance of duplicate detection. In this paper, we present algorithms that exploit relationships that exist in the data.