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The fast emergence of IoT (Internet of Things) technologies has influenced scientific communities to embrace novel sources of information and their potential use in various domains. While the vast amount of sensory data is beneficial, the lack of uniform access interfaces hinders researchers from efficient exploitation. A structured, yet flexible registry is needed to model device metadata and allow exploration and interaction with such devices. In the IoT context, the Things are physical devices (e.g., sensors, actuators, gateways) or virtual ones (e.g., digital twins, proxies, aggregated data sources). An ideal metadata registry for such Things should have a flat learning curve and be easily deployable. This would allow researchers to focus less on interoperability and more on fast prototyping and data application. Registries that are based on established standards are preferred since they can incorporate metadata with many existing Things out-of-the-box. Moreover, the registry software should be lightweight, easily deployable, and free of rigid requirements to support fast prototyping across a wide range of use cases from the edge to the cloud.

Thing Directory: Simple and lightweight registry of IoT device metadata