Towards ambient assisted cities using linked data and data analysis

Rubén Mulero; Vladimir Urosevic; Aitor Almeida; Christos Tatsiopoulos

doi:10.1007/s12652-018-0916-y

Towards ambient assisted cities using linked data and data analysis

Rubén Mulero^*
, Vladimir Urosevic
, Aitor Almeida
, Christos Tatsiopoulos

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1573-1591
Number of pages	19
Journal	Journal of Ambient Intelligence and Humanized Computing
Volume	9
Issue number	5
DOIs	https://doi.org/10.1007/s12652-018-0916-y
Publication status	Published - 1 Oct 2018
Externally published	Yes

Keywords

Ambient assisted living
Data analysis
Linked open data
Smart cities

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s12652-018-0916-y

Cite this

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title = "Towards ambient assisted cities using linked data and data analysis",

abstract = "As citizens{\textquoteright} 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{\textquoteright} behaviour, allowing to detect risks related to MCI and frailty.",

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AU - Mulero, Rubén

AU - Urosevic, Vladimir

AU - Almeida, Aitor

AU - Tatsiopoulos, Christos

PY - 2018/10/1

Y1 - 2018/10/1

N2 - 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.

AB - 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.

KW - Ambient assisted living

KW - Data analysis

KW - Linked open data

KW - Smart cities

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DO - 10.1007/s12652-018-0916-y

M3 - Article

AN - SCOPUS:85049575048

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JO - Journal of Ambient Intelligence and Humanized Computing

JF - Journal of Ambient Intelligence and Humanized Computing

IS - 5

ER -

Towards ambient assisted cities using linked data and data analysis

Abstract

Keywords

UN SDGs

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