… entity resolution problem and develop an on-line approach for ER. In this framework, by
applying rules to each record, we identify which entity the record refers to. Additionally, we …

… of an entity resolution or record linkage methodology as its … of the methodology shown
imder experimental conditions. … by the methodology divided by the number remmed by the …

… Framework, and the Algebraic Model for Entity Resolution, which are the major theoretical
models that support Entity Resolution. In relation to this, the book briefly discusses entity-…

… : granularity of functionality, matching awareness (ie, whether a method is dynamic, depending
on the outcomes of Entity Matching method, or static) and pruning definition (ie, whether …

In many applications, there are a variety of ways of referring to the same underlying real-world
entity. For example, J. Doe, Jonathan Doe, and Jon Doe may all refer to the same person. …

… The automatically generated similarity function can improve the match quality in comparison
to FEBRL's FellegiSunter method. [15] introduces an enhanced clustering-based decision …

… We aim to enable the broader community to understand entity resolution methodology, from
its foundation to recent modern developments. Specifically, we focus on social science and …

… Entity Resolution (ER) is the task of detecting different entity … JedAI, an open-source system
that puts together a series of … method in the literature, but is inappropriate for sparse entity …

Entity resolution (ER) is a key data integration problem. Despite the efforts in 70+ years in
all aspects of ER, there is still a high demand for democratizing ER - humans are heavily …

… Entity resolution is central to data integration and data … We show that for such a hybrid
system, generating the minimum … We describe this method, and present the results of extensive …