Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

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 …

Entity alignment (EA) finds equivalent entities that are located in different knowledge graphs
(KGs), which is an essential step to enhance the quality of KGs, and hence of significance to …

There is a long and unresolved debate between the symbolic and sub-symbolic methods.
However, in recent years, there is a push towards in-between methods. In this work, we …

This article proposes a notion of parametric simulation to link entities across a relational
database 𝒟 and a graph G. Taking functions and thresholds for measuring vertex closeness …

Many database optimization problems, eg, slow SQL diagnosis, database testing, optimizer
tuning, require a large volume of SQL queries. Due to privacy issues, it is hard to obtain real …

Novel attacks on dataset privacy are usually met with the same range of responses: surprise
that a route to information gain exists from information previously thought to be safe; …

Product matching is the task of deciding if offers originating from different web-shops refer to
the same real-world product. This is a central task for e-commerce applications such as …

Product matching is a central task within e-commerce applications such as price comparison
portals and online market places. State-of-the-art product matching methods achieve F1 …