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A multi-domain ontology on healthy ageing for the characterization of older adults status and behaviour

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journal contribution
posted on 2023-06-08, 13:46 authored by Alfonso Mastropietro, Filippo Palumbo, Silvia Orte, Michele Girolami, Francesco Furfari, Paolo Baronti, Ciprian Candea, Christina Roecke, Lucia Tarro, Martin SykoraMartin Sykora, Simone Porcelli, Giovanna Rizzo

Ageing is a multi-factorial physiological process and 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 health domains. Furthermore, interoperability must be guaranteed using standardized frameworks or approaches. These aspects still largely lack in the specific literature. The main aim of the paper is to develop a new ontology (the NESTORE ontology) to extend the available ontologies provided by universAAL-IoT (uAAL-IoT). The ontology is based on a multidomain healthy ageing holistic model, structuring well-assessed scientific knowledge, specifically targeted to healthy older adults aged between 65 and 75. The tool is intended to support, and standardize heterogeneous data about ageing in compliance with the uAAL-IoT framework. The NESTORE ontology covers all the relevant concepts to represent 3 significant domains of ageing: (1) Physiological Status and Physical Activity Behaviour; (2) Nutrition; and (3) Cognitive and Mental Status and Social Behaviour. 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. The proposed ontology increases the uAAL collection by 40%. NESTORE ontology provides innovation both in terms of semantic content and technological approach. The thorough 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.

Funding

EU H2020 project "Novel Empowering Solutions and Technologies for Older people to Retain Everyday life activities" (NESTORE), GA769643

History

School

  • Business and Economics

Department

  • Business

Published in

Journal of Ambient Intelligence and Humanized Computing

Volume

14

Issue

7

Pages

8725-8743

Publisher

Springer Science and Business Media LLC

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by Springer under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2021-11-30

Publication date

2021-12-13

Copyright date

2021

ISSN

1868-5137

eISSN

1868-5145

Language

  • en

Depositor

Dr Martin Sykora. Deposit date: 13 December 2021