Stream reasoning studies the application of inference techniques to data characterised by
being highly dynamic. It can find application in several settings, from Smart Cities to Industry …

Sequential pattern matching to detect a user-defined sequence of conditions on event
streams is a key feature in modern event processing systems. However, the sequential …

Due to a growing number of data producers and their ever-increasing data volume, the
ability to ingest, analyze, and store potentially never-ending streams of data is a mission …

We now exemp lify the use of our model through a case study. Let us consider a decision
support tool to ma nage an e-commerce Web site. The managers of the Web site want to …

En la era de transformación digital, nuestra cotidianidad se encuentra crecientemente
invadida por dispositivos inteligentes con la capacidad de percibir distintos tipos de …

The digitalization of our society creates a large number of data streams, such as stock
tickers, tweets, and sensor data. Making use of these streams has tremendous values. In the …

The massive increase in the availability of event information originating from networked
sensors and transactions has lead to a situation, where fast stream processing of large …

Stream reasoning studies the application of inference techniques to data characterised by
being highly dynamic. It can find application in several settings, from Smart Cities to Industry …