Towards ambient assisted cities using linked data and data analysis
| dc.contributor.author | Mulero, Rubén | |
| dc.contributor.author | Urošević, Vladimir | |
| dc.contributor.author | Almeida, Aitor | |
| dc.contributor.author | Tatsiopoulos, Christos | |
| dc.date.accessioned | 2026-04-14T12:08:54Z | |
| dc.date.available | 2026-04-14T12:08:54Z | |
| dc.date.issued | 2018-06-28 | |
| dc.date.updated | 2026-04-14T12:08:54Z | |
| dc.description.abstract | As citizens’ age increases, smart cities must adapt to help them to age properly. The objective of the City4Age project is to create the future ambient assisted cities that will help the citizens to deal with mild cognitive impairments (MCI) and frailty. In this paper we present two of the tools developed during the project. The first one is a city-wide context-manager, which allows to store the citizens information using a semantic representation and share it following the linked open data paradigm. The second one are the individual care monitoring dashboards, which use the stored information to help the caregivers to analyze and interpret the citizens’ behaviour, allowing to detect risks related to MCI and frailty. | en |
| dc.description.sponsorship | European Commission under the City4Age project Grant agreement number: 689731 | en |
| dc.identifier.citation | Mulero, R., Urosevic, V., Almeida, A., & Tatsiopoulos, C. (2018). Towards ambient assisted cities using linked data and data analysis. Journal of Ambient Intelligence and Humanized Computing, 9(5), 1573-1591. https://doi.org/10.1007/S12652-018-0916-Y | |
| dc.identifier.doi | 10.1007/S12652-018-0916-Y | |
| dc.identifier.eissn | 1868-5145 | |
| dc.identifier.issn | 1868-5137 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14454/5633 | |
| dc.language.iso | eng | |
| dc.publisher | Springer Verlag | |
| dc.subject.other | Ambient assisted living | |
| dc.subject.other | Data analysis | |
| dc.subject.other | Linked open data | |
| dc.subject.other | Smart cities | |
| dc.title | Towards ambient assisted cities using linked data and data analysis | en |
| dc.type | journal article | |
| dcterms.accessRights | open access | |
| oaire.citation.endPage | 1591 | |
| oaire.citation.issue | 5 | |
| oaire.citation.startPage | 1573 | |
| oaire.citation.title | Journal of Ambient Intelligence and Humanized Computing | |
| oaire.citation.volume | 9 | |
| oaire.licenseCondition | https://creativecommons.org/licenses/by/4.0/ | |
| oaire.version | VoR |
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