Healthy lifestyle is not only a today trend fostered by the availability of low-cost monitoring devices, but may significantly contribute to the prevention of chronic diseases as consequence of a combination of incorrect diet and lack of physical activity. In this paper, we present the use of semantic web technologies to build an architecture for supporting the monitoring of people and for persuading them to follow healthy lifestyles. Semantic technologies are used for modeling all relevant information and for fostering reasoning activities by combining user-generated data and domain knowledge. Here, we give an overview of the whole platform and highlight the structure and the role of the ontology, how it is exploited for supporting the activities of domain experts for designing monitoring rules and how the reasoning task is performed. Finally, we provide some insights about how the reasoner's output can be used for generating persuasive messages. The scenario of promoting healthy diets has been chosen for demonstrating how the platform works in a real-world environment.
A semantic-enabled platform for supporting healthy lifestyles
Dragoni, Mauro;Bailoni, Tania;Eccher, Claudio;Guerini, Marco;Maimone, Rosa
2017-01-01
Abstract
Healthy lifestyle is not only a today trend fostered by the availability of low-cost monitoring devices, but may significantly contribute to the prevention of chronic diseases as consequence of a combination of incorrect diet and lack of physical activity. In this paper, we present the use of semantic web technologies to build an architecture for supporting the monitoring of people and for persuading them to follow healthy lifestyles. Semantic technologies are used for modeling all relevant information and for fostering reasoning activities by combining user-generated data and domain knowledge. Here, we give an overview of the whole platform and highlight the structure and the role of the ontology, how it is exploited for supporting the activities of domain experts for designing monitoring rules and how the reasoning task is performed. Finally, we provide some insights about how the reasoner's output can be used for generating persuasive messages. The scenario of promoting healthy diets has been chosen for demonstrating how the platform works in a real-world environment.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.