Previously submitted to: JMIR mHealth and uHealth (no longer under consideration since Apr 02, 2021)
Date Submitted: Aug 6, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
NESTORE Ontology: a Multi-Domain Semantic Tool for the Characterization of Older Adults Status and Behaviour to Promote Healthy Ageing by IoT Systems
ABSTRACT
Background:
The constant progression in number and share of the ageing population will likely have deep effects in most of the industrialized countries. The Internet of Things (IoT) paradigm can play a key role in facilitating independent living of the ageing population thus trying to reduce the burden on the society. Considering that ageing is a multi-factorial physiological process, the development of novel IoT systems, tools and devices, specifically targeted to older people, must be based on a holistic framework built on robust scientific knowledge in different scientific domains.
Objective:
A novel semantic formalization was developed, based on a multidomain healthy ageing model, to support structuring and standardizing heterogeneous scientific knowledge about ageing. The main aim of the paper is to present the new NESTORE ontology, with the purpose thus extending the available ontologies provided by universAAL-IoT (uAAL-IoT).
Methods:
Well-assessed scientific knowledge, specifically selected to target older adults aged between 65 and 75, was formalized into a holistic model using a multi-domain approach including three main different dimensions related to well-being: (i) Physiological Status and Physical Activity Behaviour, (ii) Nutrition, and (iii) Cognitive and Mental Status and Social Behaviour. Based on this model, within the NESTORE H2020 project, a new ontology was developed in the uAAL-IoT framework, which provides modelling tools and a set of core ontologies.
Results:
The NESTORE ontologies cover all the needed concepts to represent 5 significant domains of ageing. In total, 12 sub-ontologies were modelled with more than 60 classes and sub-classes referenced among them by using more than 100 relations and around 20 enumerations. NESTORE increases the uAAL ontologies collection by 40% and expand the uAAL domain usage for Physiological Status and Physical Activity Behaviour (8 ontologies), Nutrition (3 ontologies) and Cognitive and Mental Status and Social Behaviour (4 ontologies).
Conclusions:
NESTORE ontology provides innovation both in terms of semantic content and technological approach. The thoroughly use of this ontology can support the development of a decision support system, to promote healthy ageing, with the capacity to do dynamic multi-scale modelling of user-specific data based on the semantic annotations of users’ profile.
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