Ontology-based personalized resource efficiency management for residential users of smart homes: Short paper

Abstract

The paper proposes an ongoing application and its corresponding use cases for managing user preferences and resource consumption (electric energy, gas, water) in a smart home. The application brings innovation both at front end and back end levels, via intuitive computer-human interaction and ontology-based user modeling, aiming to (1) provide an easy to use graphical user interface in order to assist residential users in managing their resources in a smart home setting; (2) collect resource consumption data and perform analysis on these data for prediction of future consumption rates and costs; (3) make recommendations for the resource management in a smart home; and (4) provide statistics regarding resource consumption management. The concept will be validated with families of residential users from the city of Cluj-Napoca.