  Raising awareness among young people on the relevance of behaviour change for
achieving energy savings is widely considered as a key approach towards
long-term and cost-effective energy efficiency policies. The GAIA Project aims
to deliver a comprehensive solution for both increasing awareness on energy
efficiency and achieving energy savings in school buildings. In this framework,
we present a novel rule engine that, leveraging a resource-based graph model
encoding relevant application domain knowledge, accesses IoT data for producing
energy savings recommendations. The engine supports configurability,
extensibility and ease-of-use requirements, to be easily applied and customized
to different buildings. The paper introduces the main design and implementation
details and presents a set of preliminary performance results.
