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 …

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 …

Record linkage is the process of matching records from several databases that refer to the
same entities. When applied on a single database, this process is known as deduplication …

With the increasing amount of data and the need to integrate data from multiple data
sources, one of the challenging issues is to identify near-duplicate records efficiently. In this …

In this paper we study how to efficiently perform set-similarity joins in parallel using the
popular MapReduce framework. We propose a 3-stage approach for end-to-end set …

Entity matching is a crucial and difficult task for data integration. Entity matching frameworks
provide several methods and their combination to effectively solve different match tasks. In …

Record linkage is the challenging task of deciding which records, coming from disparate
data sources, refer to the same entity. Established back in 1946 by Halbert L. Dunn, the area …

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 …

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 …

Entity Resolution (ER) is the task of detecting different entity profiles that describe the same
real-world objects. To facilitate its execution, we have developed JedAI, an open-source …