BOLD: A Simulation Framework for Dynamic Linked Data Environments and a Benchmark for Linked Data User Agents

Käfer T, Charpenay V, Harth A (2026)

Publication Type: Conference contribution

Publication year: 2026

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Science and Business Media Deutschland GmbH

Book Volume: 16550 LNCS

Pages Range: 321-340

Conference Proceedings Title: Lecture Notes in Computer Science

Event location: Dubrovnik HR

ISBN: 9783032251589

DOI: 10.1007/978-3-032-25159-6_17

Abstract

The paper presents the BOLD (Buildings on Linked Data) framework to simulate dynamic Linked Data environments, next to an instantiation, a benchmark for Linked Data agents built using the framework. The BOLD benchmark provides a read-write Linked Data interface to a smart building with simulated time, occupancy movement and sensors and actuators around lighting. On the Linked Data representation of this environment, agents carry out specified tasks, such as controlling illumination. The BOLD framework runs the environment and provides means to check for the correct execution of tasks and to measure agent performance. We conduct measurements on rule-based Linked Data agents.

Authors with CRIS profile

Andreas Harth Lehrstuhl für Wirtschaftsinformatik, insbesondere Technische Informationssysteme

Involved external institutions

Karlsruhe Institute of Technology (KIT) DE Germany (DE) Mines Saint-Étienne FR France (FR)

How to cite

APA:

Käfer, T., Charpenay, V., & Harth, A. (2026). BOLD: A Simulation Framework for Dynamic Linked Data Environments and a Benchmark for Linked Data User Agents. In Maribel Acosta, Marieke van Erp, Sebastian Rudolph, Olaf Hartig, Blerina Spahiu, Anisa Rula, Daniel Garijo, Francesco Osborne (Eds.), Lecture Notes in Computer Science (pp. 321-340). Dubrovnik, HR: Springer Science and Business Media Deutschland GmbH.

MLA:

Käfer, Tobias, Victor Charpenay, and Andreas Harth. "BOLD: A Simulation Framework for Dynamic Linked Data Environments and a Benchmark for Linked Data User Agents." Proceedings of the 23rd European Semantic Web Conference, ESWC 2026, Dubrovnik Ed. Maribel Acosta, Marieke van Erp, Sebastian Rudolph, Olaf Hartig, Blerina Spahiu, Anisa Rula, Daniel Garijo, Francesco Osborne, Springer Science and Business Media Deutschland GmbH, 2026. 321-340.

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