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Functional Status Information (FSI) describes physical and mental wellness at the whole-person level, and includes information on activity performance, social role participation, and environmental and personal factors that affect well-being and quality of life. Collecting and analyzing this information is critical to addressing the data needs in caring for aging global populations, and providing effective care for individuals with chronic conditions, multi-morbidity, and disability. In this paper, we present a first step towards the design of Al-enabled system increasing the self-awareness of own functional status. In particular, we focus on the underlying semantic layer of the such an Al-enabled system by presenting two modules extending the HeLiS ontology aiming (i) to represent barriers in improving own functional status and (ii) to support the conceptual representation of the arguments leading to the detection of such barriers. Finally, we show through a running example how these modules can be instantiated.