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

2021

Journal article Open Access

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

Mastropietro A., Palumbo F., Orte S., Girolami M., Furfari F., Baronti P., Candea C., Roecke C., Tarro L., Sykora M., Porcelli S., Rizzo G.

Cognition Healthy ageing model Knowledge representation and reasoning Nutrition Ontology OWL Physical activity Social behaviour

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.

Source: Journal of ambient intelligence & humanized computing (Print) (2021). doi:10.1007/s12652-021-03627-6

Publisher: Springer, Heidelberg ; Berlin

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@article{oai:it.cnr:prodotti:461826,
	title = {A multi-domain ontology on healthy ageing for the characterization of older adults status and behaviour},
	author = {Mastropietro A. and Palumbo F. and Orte S. and Girolami M. and Furfari F. and Baronti P. and Candea C. and Roecke C. and Tarro L. and Sykora M. and Porcelli S. and Rizzo G.},
	publisher = {Springer, Heidelberg ; Berlin},
	doi = {10.1007/s12652-021-03627-6},
	journal = {Journal of ambient intelligence \& humanized computing (Print)},
	year = {2021}
}