One of the most critical tasks for improving data quality and increasing the reliability of data
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …

The increasing popularity and diversity of social media sites has encouraged more and
more people to participate on multiple online social networks to enjoy their services. Each …

This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …

This chapter provides an overview of the data matching process, and describes the five
major steps involved in this process: data pre-processing (cleaning and standardisation) …

Record linkage is the process of matching records from several databases that refer to the
same entities. When applied on a single database, this process is known as deduplication …

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 …

Often, in the real world, entities have two or more representations in databases. Duplicate
records do not share a common key and/or they contain errors that make duplicate matching …

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 …

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 …

Despite the increasing importance of data quality and the rich theoretical and practical
contributions in all aspects of data cleaning, there is no single end-to-end off-the-shelf …