Abstract
MAESTRO (Sustainable Reference Framework evaluating equipment and services for seniors) is a web-based ICT multi modal platform providing a broad range of services and benefits in the domain of monitoring and self-monitoring systems for well-being and health-related information acquisition. Specifically, MAESTRO aims at realizing an innovative framework to facilitate the interaction and communication between producers and consumers at different levels, taking into account needs of end-users and features of products. This paper provides an overview of the key concepts and capabilities of MAESTRO focusing on the use of the International Classification of Functioning, Disability and Health (ICF) to build profiles of end-users and discover and rank products that meet their health-related needs. Additionally, the paper shows the results of a study aimed at evaluating the classification capabilities of MAESTRO and the integrated ICF-based taxonomy with respect to products and services developed within AAL (Active Assisted Living) Projects. The evaluation points out more recurrent health-related needs of end-users of AAL projects focus and underscore some limits and possible enhancements of the integrated ICF-based taxonomy.
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References
(2020). The global assistive technology information network: The worldwide search engine on assistive technology. http://www.eastin.eu/it-it/searches/Products/Index. Accessed 15 Jan 2020
(2020). Portale siva sulle tecnologie per la diabilità e l’autonomia. http://portale.siva.it/it-IT/home/default. Accessed 15 Jan 2020
(2020). Rehadat. https://www.rehadat.de/. Accessed 15 Jan 2020
Bauer S, Elsaesser L-J, Arthanat S (2011) Assistive technology device classification based upon the world health organization’s, international classification of functioning, disability and health (icf). Disability and rehabilitation. Assist Technol 6:243–259
Crié D (2003) Consumers’ complaint behaviour. taxonomy, typology and determinants: Towards a unified ontology. J Database Market Custom Strategy Manage 11(1):60–79
Gangemi A, Guarino N, Masolo C, Oltramari A, Schneider L (2002) Sweetening ontologies with dolce. In: Gómez-Pérez A and Benjamins VR (eds), Knowledge engineering and knowledge management: ontologies and the semantic web. Springer, Berlin, Heidelberg, pp 166–181
Gruber TR (1995) Toward principles for the design of ontologies used for knowledge sharing? Int J Human-Comput Stud 43(5):907–928
Guarino N (1998) Formal opntology in information systems. IOS Press
Hakeem A and Shah M (2004) Ontology and taxonomy collaborated framework for meeting classification. In Proceedings of the 17th International Conference on Pattern Recognition, vol 4, pp 219–222
Jansen L and Schulz S (2011) The ten commandments of ontological engineering. In: Proceedings of the 3rd workshop of ontologies in biomedicine and life sciences. pp 1–6
McGuinness DL, Van Harmelen F et al (2004) Owl web ontology language overview. W3C Recommendation 10(10):2004
Studer R, Benjamins VR, Fensel D (1998) Knowledge engineering: principles and methods. Data Knowl Eng 25(1):161–197
WHO (2001). International classification of functioning, disability and health: Icf
Willem Nico B (1997) Construction of engineering ontologies for knowledge sharing and reuse. Ph.D. thesis, Centre for Telematics and Information Technology (CTIT)
Yalcinalp S, Gulbahar Y (2010) Ontology and taxonomy design and development for personalised web-based learning systems. Br J Educ Technol 41(6):883–896
Acknowledgements
The MAESTRO project has been partially supported by the AAL EU program (http://www.aal-europe.eu/projects/maestro/). Members of the consortium were LIST (Luxembourg—Coordinator), Coherent.Streams, FST, DOMO (Switzerland), CNR, I+ (Italy), NetwellCASALA, StatSports (Ireland). It is also supported in part by Science Foundation Ireland grant 13/RC/2094. Authors would like to thank all the project participants for many fruitful discussions on topics related to the project and their friendship during the many project meetings. Authors also thank MIUR, SEFRI, Innosuisse and Enterprise Ireland for co-funding.
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Fracasso, F. et al. (2021). ICF-Based Classification to Bridge the Gap Between End-Users and AAL Solutions. In: Monteriù, A., Freddi, A., Longhi, S. (eds) Ambient Assisted Living. ForItAAL 2019. Lecture Notes in Electrical Engineering, vol 725. Springer, Cham. https://doi.org/10.1007/978-3-030-63107-9_23
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DOI: https://doi.org/10.1007/978-3-030-63107-9_23
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