Traditionally, skyline and ranking queries have been treated separately as alternative ways
of discovering interesting data in potentially large datasets. While ranking queries adopt a …

The problem of aggregating scores, so as to provide a ranking of objects in a dataset
according to different evaluation criteria, is central to many modern data-intensive …

Progressive query processing is a new attractive paradigm for exploratory data analysis.
This paper considers the case where users want to receive results ordered according to their …

The datasets available nowadays are very rich and complex, but how do we reach the
information we are looking for? In this survey, two different approaches to query a dataset …

Starting from the 90's, it was easily recognized that commonly adopted search paradigms
were not enough to deal with at-the-time emerging novel DB applications, in which the …

Skyline and ranking queries are two of the most used tools to manage large data sets. The
former is based on non-dominance, while the latter on a scoring function. Despite their …

Ranking objects according to different criteria is a central issue in many data-intensive
applications. Yet, no existing solution deals with the case of partially specified score …

The most common way to query databases is to express users' goals in a quantitative
fashion, by specifying a set of logical constraints to be satisfied, together with a scoring …