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We present CQELS 2.0, the second version of Continuous Query Evaluation overLinked Streams. CQELS 2.0 is a platform-agnostic federated execution frameworktowards semantic stream fusion. In this version, we introduce a novelneural-symbolic stream reasoning component that enables specifying deep neuralnetwork (DNN) based data fusion pipelines via logic rules with learnableprobabilistic degrees as weights. As a platform-agnostic framework, CQELS 2.0can be implemented for devices with different hardware architectures (fromembedded devices to cloud infrastructures). Moreover, this version alsoincludes an adaptive federator that allows CQELS instances on different nodesin a network to coordinate their resources to distribute processing pipelinesby delegating partial workloads to their peers via subscribing continuousqueries

CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion