One of the most critical tasks for improving data quality and increasing the reliability of data
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …

Entity Resolution (ER), a core task of Data Integration, detects different entity profiles that
correspond to the same real-world object. Due to its inherently quadratic complexity, a series …

As two important operations in data cleaning, similarity join and similarity search have
attracted much attention recently. Existing methods to support similarity join usually adopt a …

String similarity search and join are two important operations in data cleaning and
integration, which extend traditional exact search and exact join operations in databases by …

String similarity join is an important operation in data integration and cleansing that finds
similar string pairs from two collections of strings. More than ten algorithms have been …

As an essential operation in data cleaning, the similarity join has attracted considerable
attention from the database community. In this paper, we study string similarity joins with edit …

Many works have applied crowdsourcing to entity matching (EM). While promising, these
approaches are limited in that they often require a developer to be in the loop. As such, it is …

String similarity join that finds similar string pairs between two string sets is an essential
operation in many applications, and has attracted significant attention recently in the …

Massive volumes of uncertain trajectory data are being generated by GPS devices. Due to
the limitations of GPS data, these trajectories are generally uncertain. This state of affairs …

String similarity join is an essential operation in data integration. The era of big data calls for
scalable algorithms to support large-scale string similarity joins. In this paper, we study …