In the Internet of Things (IoT), multiple sensors and devices are generating heterogeneous
streams of data. To perform meaningful analysis over multiple of these streams, stream …

The Internet of Things (IoT) has emerged from the proliferation of mobile devices and objects
connected, resulting in the acquisition of periodic event flows from different devices and …

Abstract Complex Event Processing (CEP) systems aim at processing large flows of events
to discover situations of interest (SOI). CEP uses predefined pattern templates to detect …

Abstract The Linked Open Data (LOD) Cloud forms a substantial and ever increasing portion
of the global knowledge on the World Wide Web by contributing many distributed data …

With the emergence of Industry 4.0, more and more data are collected by different systems
about the processes in manufacturing environments. Inmost cases, new information can be …

With the digital transformation, an increasing volume of data is collected by different systems
during the execution of processes in organizations. In most cases, new information can be …

При реализации автоматизированных систем управления безопасностью
жизнедеятельности, применяемых в ситуационных центрах, возникает задача анализа …

To perform meaningful analysis over multiple streams of heterogeneous data, stream
processing needs to support expressive reasoning capabilities to infer implicit facts and …

Dynamic spatiotemporal situations are situations that evolve in space and time. They are
part of humans' daily life. One can be interested in a configuration of situations occurred in …