Ontologies for Quantified Self: a Semantic Approach

The spreading of devices and applications that allow people to collect personal information opens new opportunities for user modeling (UM). In this new scenario UM together with personal informatics (PI) can offer a new way for self-monitoring that can provide the users with a sophisticated mirror of their behavior, attitudes and habits and their consequences on their life, on the environment and on contexts in which they live in. These new forms of self-reflection and self-knowledge can trigger and motivate the behavior change. In this paper we describe the first step in this direction, focusing on opportunities offered by semantic web ontologies for data integration and reasoning over data for recommendation purposes.