Real-Time Entity Resolution by Forest-Based Indexing in Database Systems with Vertical Fragmentations

Entity resolution (ER) is the process of identifying and matching which tuples/records in a dataset/relation refer to the same real-world entity. Real-time ER is a challenge for large datasets. Schema decomposition is of importance in (distributed) database systems, which partitions a relation/table into a set of vertical fragmentations. For this scenario, we study real-time ER in this paper. By creating forest-based indexing and defining ranking functions and corresponding algorithms, we propose an approach to resolve query tuples over dirty relations of a set of vertical fragmentations with duplicates, misspellings, or NULL values of text attributes. Extensive experiments are conducted to demonstrate the performances of our proposed approach.