In the last few years a new research area, called stream reasoning, emerged to bridge the
gap between reasoning and stream processing. While current reasoning approaches are …

Probabilistic databases are databases where the value of some attributes or the presence of
some records are uncertain and known only with some probability. Applications in many …

Complex Event Processing (CEP) systems aim at processing large flows of events to
discover situations of interest. In CEP, the processing takes place according to user-defined …

Several application domains involve detecting complex situations and reacting to them. This
asks for a Complex Event Processing (CEP) engine specifically designed to timely process …

Current pattern-detection proposals for streaming data recognize the need to move beyond
a simple regular-expression model over strictly ordered input. We continue in this direction …

Data is an essential part of smart cities, and data can play an important role in veracity;
estimation; decision making processes. Data generated through web applications and …

Uncertain data streams, where data are incomplete and imprecise, have been observed in
many environments. Feeding such data streams to existing stream systems produces results …

Uncertain data streams, where data is incomplete, imprecise, and even misleading, have
been observed in many environments. Feeding such data streams to existing stream …

After over a half century of development, radio-frequency identification (RFID) is beginning
to move into mainstream applications for automatic identification. RFID is widely seen today …

Data are crucial to support decision making. If data have low veracity, decisions are not
likely to be sound. Internet of Things (IoT) generates big data with inaccuracy, inconsistency …