  Ontologies serve as a one of the formal means to represent and model
knowledge in computer science, electrical engineering, system engineering and
other related disciplines. Ontologies within requirements engineering may be
used for formal representation of system requirements. In the Internet of
Things, ontologies may be used to represent sensor knowledge and describe
acquired data semantics. Designing an ontology comprehensive enough with an
appropriate level of knowledge expressiveness, serving multiple purposes, from
system requirements specifications to modeling knowledge based on data from IoT
sensors, is one of the great challenges. This paper proposes an approach
towards ontology-based requirements engineering for well-being, aging and
health supported by the Internet of Things. Such an ontology design does not
aim at creating a new ontology, but extending the appropriate one already
existing, SAREF4EHAW, in order align with the well-being, aging and health
concepts and structure the knowledge within the domain. Other contributions
include a conceptual formulation for Well-Being, Aging and Health and a related
taxonomy, as well as a concept of One Well-Being, Aging and Health. New
attributes and relations have been proposed for the new ontology extension,
along with the updated list of use cases and particular ontological
requirements not covered by the original ontology. Future work envisions full
specification of the new ontology extension, as well as structuring system
requirements and sensor measurement parameters to follow description logic.
