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 …

Data analysis often uses data sets that were collected for different purposes. Indeed, new
insights are often obtained by combining data sets that were produced independently of …

The importance of data as a key resource is a universal theme dominating social and
business life. In this regard, inter-organizational data sharing shines in a new light prompting …

The field of data integration has expanded significantly over the years, from providing a
uniform query and update interface to structured databases within an enterprise to the ability …

Recent years have seen an increasing interest in ontology-mediated query answering, in
which the semantic knowledge provided by an ontology is exploited when querying data …

The area of Principles of Data Management (PDM) has made crucial contributions to the
development of formal frameworks for understanding and managing data and knowledge …

This report documents the program and the outcomes of Dagstuhl Seminar 19391``Data
Ecosystems: Sovereign Data Exchange among Organizations''. The goal of the seminar was …

The goal of the article is to bridge the difference between theoretical and practical
approaches to answering queries over databases with nulls. Theoretical research has long …

Incomplete data, in the form of null values, has been extensively studied since the inception
of the relational model in the 1970s. Anecdotally, one hears that the way in which SQL, the …

Given a source relational database, a target OWL ontology and a mapping from the source
database to the target ontology, Ontology-Based Data Access (OBDA) concerns answering …