Efficient processing of top-k queries is a crucial requirement in many interactive
environments that involve massive amounts of data. In particular, efficient top-k processing …

This paper reports our first set of results on managing uncertainty in data integration. We
posit that data-integration systems need to handle uncertainty at three levels and do so in a …

The top-k dominating query returns k data objects which dominate the highest number of
objects in a dataset. This query is an important tool for decision support since it provides …

Visual categorization problems, such as object classification or action recognition, are
increasingly often approached using a detection strategy: a classifier function is first applied …

Preferences have been traditionally studied in philosophy, psychology, and economics and
applied to decision making problems. Recently, they have attracted the attention of …

The general problem of answering top-k queries can be modeled using lists of data items
sorted by their local scores. The main algorithm proposed so far for answering top-k queries …

This book is the first to combine coverage of fuzzy logic and Semantic Web languages. It
provides in-depth insight into fuzzy Semantic Web languages for non-fuzzy set theory and …

The top-k dominating query returns k data objects which dominate the highest number of
objects in a dataset. This query is an important tool for decision support since it provides …

A regret minimizing set Q is a small size representation of a much larger database P so that
user queries executed on Q return answers whose scores are not much worse than those on …

Ranking and aggregation queries are widely used in data exploration, data analysis, and
decision-making scenarios. While most of the currently proposed ranking and aggregation …