The Complex Event Recognition (CER) group of NCSR “Demokritos” works towards advanced and efficient methods for the recognition of complex events in a multitude of large, heterogeneous and interdependent data streams.

A simple language for RTEC, with the aim of supporting people who are not familiar with the Event Calculus or (logic) programming.

The goal of this tutorial is to provide a step-by-step guide for realizing CER in the Big Data era.

A summary of the most prominent models and algorithms for Complex Event Recognition.

In this tutorial, we review complex event recognition technologies. We focus on the Chronicle Recognition System (CRS), the Event Calculus (EC), ProbLog and Markov Logic Networks (MLN).

We review a Chronicle Recognition System (CRS), the Event Calculus (EC), ProbLog and Markov Logic Networks (MLN).