Publications


A probabilistic interval-based event calculus for activity recognition

Artikis, Alexander, Makris, Evangelos, Paliouras, Georgios - Annals of Mathematics and Artificial Intelligence - Aug 2019.

Abstract:

Activity recognition refers to the detection of temporal combinations of ‘low-level’ or ‘short-term’ activities on sensor data. Various types of uncertainty exist in activity recognition systems and this often leads to erroneous detection. Typically, the frameworks aiming to handle uncertainty compute the probability of the occurrence of activities at each...

Complex event recognition in the Big Data era: a survey

Giatrakos, N., Alevizos, E., Artikis, A. et al. - The VLDB Journal (2019). - pp. 1--40

Abstract:

The concept of event processing is established as a generic computational paradigm in various application fields. Events report on state changes of a system and its environment. Complex event recognition (CER) refers to the identification of composite events of interest, which are collections of simple, derived events that satisfy some...

Uncertainty-Aware Event Analytics over Distributed Settings.

N. Giatrakos et al. - Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems. ACM - ACM, 2019

Abstract:

In complex event processing (CEP), simple derived event tuples are combined in pattern matching procedures to derive complex events (CEs) of interest. Big Data applications analyze event streams online and extract CEs to support decision making procedures. At massive scale, such applications operate over distributed networks of sites where efficient...

Incremental Event Calculus for Run-Time Reasoning.

Tsilionis, Artikis, Paliouras - Proceedings of the 13th ACM International Conference on Distributed Event-Based Systems - DEBS, 2019.

Abstract:

We present a system for online, incremental composite event recognition. In streaming environments, the usual case is for data to arrive with a (variable) delay from, and to be retracted/revised by the underlying sources. We propose RTECinc, an incremental version of RTEC, a composite event recognition engine with a formal,...

Composite Event Recognition for Maritime Monitoring.

Pitsikalis, Manolis, et al. - Proceedings of the 13th ACM International Conference on Distributed Event-Based Systems - ACM, 2019.

Abstract:

Maritime monitoring systems support safe shipping as they allow for the real-time detection of dangerous, suspicious and illegal vessel activities. We present such a system using the Run-Time Event Calculus, a composite event recognition system with formal, declarative semantics. For effective recognition, we developed a library of maritime patterns in...

This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 825070.

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