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 …

Data integration aims to integrate data in different sources and provide users with a unified
view. However, data integration cannot be completely addressed by purely automated …

In this paper, we study the problem of using deep neural networks (DNNs) for estimating the
cardinality of similarity queries. Intuitively, DNNs can capture the distribution of data points …

Set similarity joins, which compute pairs of similar sets, constitute an important operator
primitive in a variety of applications, including applications that must process large amounts …

On-line decision augmentation (OLDA) has been considered as a promising paradigm for
real-time decision making powered by Artificial Intelligence (AI). OLDA has been widely …

Efficiency techniques are an integral part of Entity Resolution, since its infancy. In this
survey, we organized the bulk of works in the field into Blocking, Filtering and hybrid …

Similarity query processing is becoming increasingly important in many applications such as
data cleaning, record linkage, Web search, and document analytics. In this paper we study …

We argue that more attention should be devoted to developing self-service string matching
(SM) solutions, which lay users can easily use. We show that Falcon, a self-service entity …

A set containment join operates on two set-valued attributes with a subset (⊆) relationship
as the join condition. It has many real-world applications, such as in publish/subscribe …

Search engine has become an integral part of our daily life. It helps users to find a specific
desirable information from the large amount of data stored in the web. Query …