BOLD: A Benchmark for Linked Data User Agents and a Simulation Framework for Dynamic Linked Data Environments
This provides a tool for researchers and developers to test and improve Linked Data agents in specific smart building scenarios, though it is incremental as it builds on existing Linked Data concepts.
The paper introduces the BOLD benchmark and simulation framework for evaluating Linked Data agents in dynamic smart building environments, showing that agents based on condition-action rules can perform tasks like controlling illumination with measurable performance metrics.
The paper presents the BOLD (Buildings on Linked Data) benchmark for Linked Data agents, next to the framework to simulate dynamic Linked Data environments, using which we built BOLD. The BOLD benchmark instantiates the BOLD framework by providing 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 several specified tasks, such as controlling illumination. The simulation environment provides means to check for the correct execution of the tasks and to measure the performance of agents. We conduct measurements on Linked Data agents based on condition-action rules.