Francesco Morandi

TL;DR: This work presents a novel semantic level interoperability architecture for pervasive computing and IoTs that conforms to the common IoT-A architecture reference model (ARM), and maps the central components of the architecture to the IoT-ARM.

TL;DR: A novel event detection algorithm, tailored on the IoT specificities (i.e., heterogeneous events need to be detected and continuous updates of few RDF triples dominate with respect to more complex updates), is presented along with the envisioned application design pattern and performance evaluation model.

TL;DR: A renewedSmart-M3 Semantic Information Broker implementation with increased performance and usability levels is proposed with many features added or modified, preserving compatibility with the previous release.

TL;DR: This paper proposes a novel EV simulation platform that can assist in the predeployment of charging infrastructures and services on realistic large-scale EM scenarios, and introduces the Mobile Application Zoo, which is a sandbox through which EM-related mobile applications can be seamlessly integrated within the simulation platform to be validated on virtual environments before their deployment on real scenarios.

TL;DR: A software architecture to support the deployment of mobile and smart services over an Electric Mobility (EM) scenario, which relies on an ontology-based data representation, on a shared repository of information, and on software modules for standardized data access/management.