Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …

It has recently been asserted that the usability of a database is as important as its capability.
Understanding the database schema, the hidden relationships among attributes in the data …

Data provenance has evolved from a niche topic to a mainstream area of research in
databases and other research communities. This article gives a comprehensive introduction …

We study the problem of introducing errors into clean databases for the purpose of
benchmarking data-cleaning algorithms. Our goal is to provide users with the highest …

After decades of effort working on database performance, the quality and the usability of
database systems have received more attention in recent years. In particular, the feature of …

Provenance has been studied extensively to explain existing and missing results for many
applications while focusing on scalability and usability challenges. Recently, techniques that …

As key decisions are often made based on information contained in a database, it is
important for the database to be as complete and correct as possible. For this reason, many …

With the increasing amount of available data and transformations manipulating the data, it
has become essential to analyze and debug data transformations. A sub-problem of data …

This work considers why-not questions in the context of top-k queries and score-based
ranking functions. Following the popular linear scalarization approach for multi-objective …

Large volumes of geo-tagged text objects are available on the web. Spatial keyword top-k
queries retrieve k such objects with the best score according to a ranking function that takes …