Despite the huge amount of recent research efforts on entity resolution (matching) there has not yet been a comparative evaluation on the relative effectiveness and efficiency of ...
Databases often contain uncertain and imprecise references to real-world entities. Entity resolution, which is the process of reconciling multiple references to underlying real-wor...
Hyunmo Kang, Lise Getoor, Ben Shneiderman, Mustafa...
The SERF project at Stanford deals with the Entity Resolution (ER) problem, in which records determined to represent the same real-life "entities" (such as people or pro...
: Cloud infrastructures enable the efficient parallel execution of data-intensive tasks such as entity resolution on large datasets. We investigate challenges and possible solution...
We consider the Entity Resolution (ER) problem (also known as deduplication, or merge-purge), in which records determined to represent the same real-world entity are successively ...
David Menestrina, Omar Benjelloun, Hector Garcia-M...
Visualizing and analyzing social networks is a challenging problem that has been receiving growing attention. An important first step, before analysis can begin, is ensuring that...
Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben S...
The entity resolution (ER) problem, which identifies duplicate entities that refer to the same real world entity, is essential in many applications. In this paper, in particular,...
Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewo...
Entity resolution is the problem of determining which records in a database refer to the same entities, and is a crucial and expensive step in the data mining process. Interest in...