Object Matching (Entity resolution) is a critical data integration task and aims at identifying semantically corresponding objects (records, instances) in one or several data sources. A typical example is the redundant and heterogeneous representation of customers in different enterprise databases. Finding corresponding customer representations is a key task, e.g., for customer relationship man...

Object Matching (Entity resolution) is a critical data integration task and aims at identifying semantically corresponding objects (records, instances) in one or several data sources. A typical example is the redundant and heterogeneous representation of customers in different enterprise databases. Finding corresponding customer representations is a key task, e.g., for customer relationship man...

Object Matching (Entity resolution) is a critical data integration task and aims at identifying semantically corresponding objects (records, instances) in one or several data sources. A typical example is the redundant and heterogeneous representation of customers in different enterprise databases. Finding corresponding customer representations is a key task, e.g., for customer relationship man...

Object Matching (Entity resolution) is a critical data integration task and aims at identifying semantically corresponding objects (records, instances) in one or several data sources. A typical example is the redundant and heterogeneous representation of customers in different enterprise databases. Finding corresponding customer representations is a key task, e.g., for customer relationship man...

Usually considered as a classification problem, entity resolution (ER) can be very challenging on real data due to the prevalence of dirty values. The state-of-the-art solutions for ER were built variety learning models (most notably deep neural networks), which require lots accurately labeled training data. Unfortunately, high-quality usually expensive manual work, and are therefore not readil...

Entity Resolution (ER) lies at the core of data integration and cleaning and, thus, a bulk research examines ways for improving its effectiveness time efficiency. The initial ER methods pri

Entity resolution, the process of determining if two or more references correspond to the same entity, is an emerging area of study in computer science. While entity resolution models leverage artificial intelligence, machine learning, and data mining techniques, relationships between various models remain ill-specified. Despite growth in both research and literature, investigations are scatter...