VLDB2025
NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms
Ourania Ntouni, Dimitrios Banelas, Nikos Giatrakos
被引用 1 次
摘要
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 state-of-the-art IoT optimizer.