Distributed Detection of Complex Events on Streams of Linked Data

Schraudner D, Schmid S, Harth A (2025)

Publication Type: Conference contribution

Publication year: 2025

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer

Series: Lecture Notes in Computer Science

Pages Range: 327-341

Conference Proceedings Title: Web Engineering

Event location: Delft NL

ISBN: 9783031972065

DOI: 10.1007/978-3-031-97207-2_25

Abstract

The Internet of Things has created the need for scalable, distributed detection of complex events across organizational boundaries. We present a RESTful architecture that enables distributed detection of complex events on streams of Linked Data. Our approach transforms declarative event patterns expressed in a DatalogMTL-based temporal logic formalism into a network of stream containers and reasoning agents that can operate across organizational boundaries. Key contributions include: (1) A modular architecture based on the Linked Data Platform for federated stream processing, (2) A method for transforming declarative patterns into executable components, (3) A formal model using Colored Stochastic Petri Nets to validate correctness and analyze performance, and (4) an implementation and experimental validation of our approach. Experimental results demonstrate that our system achieves high throughput through parallel processing while maintaining a predictable latency that scales linearly with program depth.

Authors with CRIS profile

Daniel Schraudner Lehrstuhl für Wirtschaftsinformatik, insbesondere Technische Informationssysteme Sebastian Schmid Lehrstuhl für Wirtschaftsinformatik, insbesondere Technische Informationssysteme Andreas Harth Lehrstuhl für Wirtschaftsinformatik, insbesondere Technische Informationssysteme

How to cite

APA:

Schraudner, D., Schmid, S., & Harth, A. (2025). Distributed Detection of Complex Events on Streams of Linked Data. In Web Engineering (pp. 327-341). Delft, NL: Springer.

MLA:

Schraudner, Daniel, Sebastian Schmid, and Andreas Harth. "Distributed Detection of Complex Events on Streams of Linked Data." Proceedings of the 25th International Conference, ICWE 2025, Delft Springer, 2025. 327-341.

BibTeX: Download