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Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation
In recent years, many proposals of context-aware systems applied to IoT-based smart environments have been presented in the literature. Most previous works provide a generic high-level structure of how a context-aware system can be operationalized, but do not offer clues on how to implement it. On t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587303/ https://www.ncbi.nlm.nih.gov/pubmed/34770401 http://dx.doi.org/10.3390/s21217095 |
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author | Munoz-Arcentales, Andres López-Pernas, Sonsoles Conde, Javier Alonso, Álvaro Salvachúa, Joaquín Hierro, Juan José |
author_facet | Munoz-Arcentales, Andres López-Pernas, Sonsoles Conde, Javier Alonso, Álvaro Salvachúa, Joaquín Hierro, Juan José |
author_sort | Munoz-Arcentales, Andres |
collection | PubMed |
description | In recent years, many proposals of context-aware systems applied to IoT-based smart environments have been presented in the literature. Most previous works provide a generic high-level structure of how a context-aware system can be operationalized, but do not offer clues on how to implement it. On the other hand, there are many implementations of context-aware systems applied to specific IoT-based smart environments that are context-specific: it is not clear how they can be extended to other use cases. In this article, we aim to provide an open-source reference implementation for providing context-aware data analytics capabilities to IoT-based smart environments. We rely on the building blocks of the FIWARE ecosystem and the NGSI data standard, providing an agnostic end-to-end solution that considers the complete data lifecycle, covering from data acquisition and modeling, to data reasoning and dissemination. In other words, our reference implementation can be readily operationalized in any IoT-based smart environment regardless of its field of application, providing a context-aware solution that is not context-specific. Furthermore, we provide two example use cases that showcase how our reference implementation can be used in a variety of fields. |
format | Online Article Text |
id | pubmed-8587303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85873032021-11-13 Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation Munoz-Arcentales, Andres López-Pernas, Sonsoles Conde, Javier Alonso, Álvaro Salvachúa, Joaquín Hierro, Juan José Sensors (Basel) Article In recent years, many proposals of context-aware systems applied to IoT-based smart environments have been presented in the literature. Most previous works provide a generic high-level structure of how a context-aware system can be operationalized, but do not offer clues on how to implement it. On the other hand, there are many implementations of context-aware systems applied to specific IoT-based smart environments that are context-specific: it is not clear how they can be extended to other use cases. In this article, we aim to provide an open-source reference implementation for providing context-aware data analytics capabilities to IoT-based smart environments. We rely on the building blocks of the FIWARE ecosystem and the NGSI data standard, providing an agnostic end-to-end solution that considers the complete data lifecycle, covering from data acquisition and modeling, to data reasoning and dissemination. In other words, our reference implementation can be readily operationalized in any IoT-based smart environment regardless of its field of application, providing a context-aware solution that is not context-specific. Furthermore, we provide two example use cases that showcase how our reference implementation can be used in a variety of fields. MDPI 2021-10-26 /pmc/articles/PMC8587303/ /pubmed/34770401 http://dx.doi.org/10.3390/s21217095 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Munoz-Arcentales, Andres López-Pernas, Sonsoles Conde, Javier Alonso, Álvaro Salvachúa, Joaquín Hierro, Juan José Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation |
title | Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation |
title_full | Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation |
title_fullStr | Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation |
title_full_unstemmed | Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation |
title_short | Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation |
title_sort | enabling context-aware data analytics in smart environments: an open source reference implementation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587303/ https://www.ncbi.nlm.nih.gov/pubmed/34770401 http://dx.doi.org/10.3390/s21217095 |
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