Paper accepted at ACM TOIT

Our paper on facilitating the administration of smart spaces has been accepted in ACM Transactions on Internet Technology.

The SemIoTic Ecosystem: A Semantic Bridge between IoT Devices and Smart Spaces Roberto Yus (University of Maryland, Baltimore County, USA); Georgios Bouloukakis (Telecom SudParis, USA); Sharad Mehrotra and Nalini Venkatasubramanian (University of California, Irvine, USA)

Smart space administration and application development is challenging in part due to the semantic gap that exists between the high-level requirements of users and the low-level capabilities of IoT devices. The stakeholders in a smart space are required to deal with communicating with specific IoT devices, capturing data, processing it, and abstracting it out to generate useful inferences. Additionally, this makes reusability of smart space applications difficult since they are developed for specific sensor deployments. In this paper, we present a holistic approach to IoT smart spaces, the SemIoTic ecosystem, to facilitate application development, space management, and service provision to its inhabitants. The ecosystem is based on a centralized repository, where developers can advertise their space-agnostic applications; and a SemIoTic system deployed in each smart space that interacts with those applications to provide them with the required information. SemIoTic applications are developed using a metamodel that defines high-level concepts abstracted from the smart space about the space itself and the people within it. Application requirements can be expressed then in terms of user-friendly high-level concepts which are automatically translated by SemIoTic into sensor/actuator commands adapted to the underlying device deployment in each space. We present a reference implementation of the ecosystem that has been deployed at the University of California, Irvine and is abstracting data from hundreds of sensors in the space and providing applications to campus members.

Roberto Yus
Roberto Yus
Assistant Professor

My research interests include Data Management, Knowledge Representation, the Internet of Things, and Privacy.