Published November 6, 2025 | Version v1

NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms

  • 1. ROR icon Technical University of Crete
  • 2. ROR icon Athena Research and Innovation Center In Information Communication & Knowledge Technologies
  • 1. ROR icon Technical University of Crete
  • 2. ROR icon Athena Research and Innovation Center In Information Communication & Knowledge Technologies

Description

We demonstrate NeuroFlinkCEP, the first framework that integrates neural and symbolic Complex Event Recognition (CER) over a state-of-the-art Big Data platform, also optimizing neurosymbolic CER upon operating over IoT settings. NeuroFlinkCEP receives expressed patterns as extended regular expressions and automatically transforms them to FlinkCEP jobs per device. To enable detection of simple events involved in CER patterns, NeuroFlinkCEP can integrate any neural model in FlinkCEP jobs. To optimally assign operator execution in-network, we incorporate and extend a stateof-the-art IoT optimizer.

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p2290-giatrakos.pdf

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Additional details

Funding

European Commission
EVENFLOW - Robust Learning and Reasoning for Complex Event Forecasting 101070430
European Commission
CREXDATA - Critical Action Planning over Extreme-Scale Data 101092749