The ubiquity of data lakes has created fascinating new challenges for data management
research. In this tutorial, we review the state-of-the-art in data management for data lakes …

Abstract The GRACE International Meeting on Bidirectional Transformations was held in
December 2008 near Tokyo, Japan. The meeting brought together researchers and …

This is an overview of the end-to-end data cleaning process. Data quality is one of the most
important problems in data management, since dirty data often leads to inaccurate data …

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 …

Data integration is the problem of combining data residing at different sources, and
providing the user with a unified view of these data. The problem of designing data …

Different notions of provenance for database queries have been proposed and studied in
the past few years. In this article, we detail three main notions of database provenance …

Data exchange is the problem of taking data structured under a source schema and creating
an instance of a target schema that reflects the source data as accurately as possible. In this …

In this paper, we introduce a family of expressive extensions of Datalog, called Datalog+/-,
as a new paradigm for query answering over ontologies. The Datalog+/-family admits …

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 …

Awareness of data and information quality issues has grown rapidly in light of the critical role
played by the quality of information in our data-intensive, knowledge-based economy …