Towards ambient assisted cities using linked data and data analysis

Mulero, Ruben; Urošević, Vladimir; Almeida, Aitor; Tatsiopoulos, Christos

doi:10.1007/s12652-018-0916-y

Cited by 15 publications

(8 citation statements)

References 30 publications

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“…This reveals that the existing smart city frameworks mostly cover 3 out of the 5 security dimensions listed in Table 3, and only 1 out of the 5 privacy dimensions. Although this finding should be put into perspective given the methodology applied in our study for selecting papers (cf., Figure 4), this finding/trend in the context of smart city is pointed out in various studies such as [24], [87], [88], [98], [102]- [104].…”

Section: Corpus: Acm Ieee Springer Sciencedirect Mdpi (195)supporting

confidence: 65%

bIoTope: Building an IoT Open Innovation Ecosystem for Smart Cities

et al. 2020

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The Internet of Things (IoT) has led towards a digital world in which everything becomes connected. Unfortunately, most of the currently marketed connected devices feed vertically-oriented closed systems (commonly referred to as vertical silos) which prevent the development of a unified global IoT. This issue is all the more valid in complex environments, such as smart cities, in which exceedingly large amounts of heterogeneous sensor data are collected, and in which platforms and stakeholders should also be able to interact and cooperate. Therefore, it is of utmost importance to move towards the creation of open IoT ecosystems to support efficient smart city service integration, discovery and composition. This paper contributes to the specifications of such an ecosystem, which has been developed as part of the EU's H2020 bIoTope project. The novelty of this ecosystem compared with the current literature is threefold: (i) it is based on the extensive use of open communication and data standards, notably O-MI and O-DF standards, that foster technical, syntactic and semantic interoperability over domains; (ii) it proposes an innovative service marketplace for data/service publication, discovery and incentivization; (iii) it integrates security functionalities at the IoT gateway level. The practicability of our ecosystem has been validated through several smart city proofs-of-concept set up in three distinct cities: Helsinki, Lyon and Brussels. Given the five major themes defined in the CITYKeys (a smart city performance indicator framework), namely People, Planet, Prosperity, Governance and Propagation, bIoTope mainly contributes to Prosperity-related metrics, as discussed in this paper.

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Section: Corpus: Acm Ieee Springer Sciencedirect Mdpi (195)supporting

confidence: 65%

bIoTope: Building an IoT Open Innovation Ecosystem for Smart Cities

et al. 2020

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“…In [2], the authors proposed a context management system for smart environments that uses an ontology to model the uncertainty and vagueness of the contextual information collected to reach a richer inference process. Authors in [9], propose an ontology-based context management system that allows the monitoring of the elderly citizens' behavior and the detection of risks related to mild cognitive impairments and frailty. The work proposed in [8] describes a decision support system aiming to ensure the treatment and care delivery pathways for patients with Head and Neck Cancer.…”

Section: Related Workmentioning

confidence: 99%

A Fuzzy-Ontology Based Diabetes Monitoring System Using Internet of Things

Titi¹,

Elhadj²,

Fourati³

2020

Lecture Notes in Computer Science

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The majority of the Internet-of-things (IoT)-based health monitoring systems adopt ontologies to represent and interoperate the huge quantity of data collected. Classical ontologies cannot appropriately treat imprecise and ambiguous knowledge. The integration of Fuzzy logic theory with ontology can effectively resolve knowledge problems with uncertainty. It considerably raises the accuracy and the precision of healthcare decisions. This paper presents a fuzzy-ontology based system using the internet of things and aims to ensure continues monitoring of diabetic patients. It mainly describes the ontology-based model and the semantic fuzzy decision-making mechanism. The system is evaluated using semantic querying. The results indicate its feasibility for effective remote continuous monitoring for diabetes.

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“…While paper 'A Context-Aware and Self-Adaptive Offloading Decision Support Model for Mobile Cloud Computing System' (Nakahara and Beder 2018) by Flávio Akira Nakahara and Delano Medeiros Beder presents a contextaware and self-adaptive offloading decision support model based on application's time execution and energy consumption for decision-taking estimation to improve system execution; paper 'Towards Ambient Assisted Cities Using Linked Data and Data Analysis' (Mulero et al 2018) authored by Rubén Mulero et al investigates two methods to help Ambient Assisted Cities to deal with Mild Cognitive Impairments and Frailty. These methods discuss a citywide context manager and an individual care monitoring dashboard.…”

Section: Contributions Of This Issuementioning

confidence: 99%

“…2018;Mulero et al 2018;Nakahara and Beder 2018;Zhang et al 2018), indoor and outdoor localization(Chen et al 2018;Han et al 2018;Xin et al 2018), crowd-sourced big data analysis(Pan et al 2018;Park 2018), privacy…”

mentioning

confidence: 99%