CC BY 4.0Le-Tuan, AnhAnhLe-TuanNguyen-Duc, ManhManhNguyen-DucLe, Chien-QuangChien-QuangLeTran, Trung-KienTrung-KienTranHauswirth, ManfredManfredHauswirthEiter, ThomasThomasEiterPhuoc, Danh LeDanh LePhuoc2023-01-232023-01-232022https://publica.fraunhofer.de/handle/publica/434211https://doi.org/10.24406/publica-77810.48550/ARXIV.2202.1395810.24406/publica-778We present CQELS 2.0, the second version of Continuous Query Evaluation over Linked Streams. CQELS 2.0 is a platform-agnostic federated execution framework towards semantic stream fusion. In this version, we introduce a novel neuralsymbolic stream reasoning component that enables specifying deep neural network (DNN) based data fusion pipelines via logic rules with learnable probabilistic degrees as weights. As a platform-agnostic framework, CQELS 2.0 can be implemented for devices with different hardware architectures (from embedded devices to cloud infrastructures). Moreover, this version also includes an adaptive federator that allows CQELS instances on different nodes in a network to coordinate their resources to distribute processing pipelines by delegating partial workloads to their peers via subscribing continuous queries.enDDC::300 Sozialwissenschaften::380 Handel, Kommunikation, Verkehr::384 Kommunikation, TelekommunikationDDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatikpaper