We classify data quality problems that are addressed by data cleaning and provide an
overview of the main solution approaches. Data cleaning is especially required when …

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 …

Smart speakers such as Alexa and Google Home introduced Artificial Intelligence (AI) in
millions soon billions of households, making AI an everyday experience. We can now look …

Entity matching is the problem of identifying which records refer to the same real-world
entity. It has been actively researched for decades, and a variety of different approaches …

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 …

The first edition of this book appeared in 1991 when the technology was new and there were
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …

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 …

Schema matching is a basic problem in many database application domains, such as data
integration, E-business, data warehousing, and semantic query processing. In current …

Matching elements of two data schemas or two data instances plays a key role in data
warehousing, e-business, or even biochemical applications. In this paper we present a …

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 …