Semantic integration has been a long-standing challenge for the database community. It has
received steady attention over the past two decades, and has now become a prominent area …

Profiling data to determine metadata about a given dataset is an important and frequent
activity of any IT professional and researcher and is necessary for various use-cases. It …

We have made tremendous strides in providing tools for data scientists to discover new
tables useful for their analyses. But despite these advances, the proper integration of …

Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

We define the table union search problem and present a probabilistic solution for finding
tables that are unionable with a query table within massive repositories. Two tables are …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

Schema and ontology matching is a critical problem in many application domains, such as
semantic web, schema/ontology integration, data warehouses, e-commerce, etc. Many …

The increasing demand of matching and mapping tasks in modern integration scenarios has
led to a plethora of tools for facilitating these tasks. While the plethora made these tools …

Data integration is a pervasive challenge faced in applications that need to query across
multiple autonomous and heterogeneous data sources. Data integration is crucial in large …