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Ontology-Driven Mental Healthcare Applications: A Case Study on Cognitive Rehabilitation with Serious Games

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Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2020)

Abstract

The emergence of Semantic Web offered an opportunity for developing new approaches regarding the integration, deployment and operation of healthcare applications. By combining network connectivity, contemporary software architectural styles and semantic-based technologies efficient representation and communication of data and knowledge is feasible between different system components. In this context, standards such as Resource Description Framework (RDF) and Web Ontology Language (OWL) are underpinning the definition of ontologies in the healthcare domain. The aim of this work is to provide insights on the design and implementation of ontology-based healthcare applications. The focus is on the domain of mental healthcare and in particular the development of a game platform for mild cognitive impairment rehabilitation is examined closely as a case study. The positive impact of the synergy between healthcare applications and ontologies is discussed and some of the major challenges and obstacles in this scope are identified.

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Acknowledgements

This research has been co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call ERA-NETS 2018 (ID:Τ8ΕΡΑ2-00011, grant MIS:5041669). The authors would like to thank the fellow researchers in the COGNIPLAT project for their valuable support in the performed research and the volunteers that took part in the evaluation study.

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Correspondence to Christos Goumopoulos .

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Goumopoulos, C., Igoumenakis, I. (2021). Ontology-Driven Mental Healthcare Applications: A Case Study on Cognitive Rehabilitation with Serious Games. In: Ziefle, M., Guldemond, N., Maciaszek, L.A. (eds) Information and Communication Technologies for Ageing Well and e-Health. ICT4AWE 2020. Communications in Computer and Information Science, vol 1387. Springer, Cham. https://doi.org/10.1007/978-3-030-70807-8_7

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  • DOI: https://doi.org/10.1007/978-3-030-70807-8_7

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