AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL

Smart Cities requires the support of context-aware and enriched semantic descriptions to support a scalable and cross-domain development of smart applications. For example, nowadays general purpose sensors such as crowd monitoring (counting people in an area), environmental information (pollution,...

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Main Authors: A. J. Jara, Y. Bocchi, D. Fernandez, G. Molina, A. Gomez
Format: Article
Language:English
Published: Copernicus Publications 2017-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W3/43/2017/isprs-archives-XLII-4-W3-43-2017.pdf
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spelling doaj-9953d707a26c402296d94e1dafc93a332020-11-24T21:10:30ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-09-01XLII-4-W3435010.5194/isprs-archives-XLII-4-W3-43-2017AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODELA. J. Jara0Y. Bocchi1D. Fernandez2G. Molina3A. Gomez4University of Applied Sciences Western Switzerland (HES-SO), Technopole, 3, 3960 Sierre SwitzerlandUniversity of Applied Sciences Western Switzerland (HES-SO), Technopole, 3, 3960 Sierre SwitzerlandHOP Ubiquitous S.L. (HOPU), Murcia, SpainHOP Ubiquitous S.L. (HOPU), Murcia, SpainHOP Ubiquitous S.L. (HOPU), Murcia, SpainSmart Cities requires the support of context-aware and enriched semantic descriptions to support a scalable and cross-domain development of smart applications. For example, nowadays general purpose sensors such as crowd monitoring (counting people in an area), environmental information (pollution, air quality, temperature, humidity, noise) etc. can be used in multiple solutions with different objectives. For that reason, a data model that offers advanced capabilities for the description of context is required. This paper presents an overview of the available technologies for this purpose and how it is being addressed by the Open and Agile Smart Cities principles and FIWARE platform through the data models defined by the ETSI ISG Context Information Management (ETSI CIM).https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W3/43/2017/isprs-archives-XLII-4-W3-43-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. J. Jara
Y. Bocchi
D. Fernandez
G. Molina
A. Gomez
spellingShingle A. J. Jara
Y. Bocchi
D. Fernandez
G. Molina
A. Gomez
AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet A. J. Jara
Y. Bocchi
D. Fernandez
G. Molina
A. Gomez
author_sort A. J. Jara
title AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL
title_short AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL
title_full AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL
title_fullStr AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL
title_full_unstemmed AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL
title_sort analysis of context-aware data models for smart cities: towards fiware and etsi cim emerging data model
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2017-09-01
description Smart Cities requires the support of context-aware and enriched semantic descriptions to support a scalable and cross-domain development of smart applications. For example, nowadays general purpose sensors such as crowd monitoring (counting people in an area), environmental information (pollution, air quality, temperature, humidity, noise) etc. can be used in multiple solutions with different objectives. For that reason, a data model that offers advanced capabilities for the description of context is required. This paper presents an overview of the available technologies for this purpose and how it is being addressed by the Open and Agile Smart Cities principles and FIWARE platform through the data models defined by the ETSI ISG Context Information Management (ETSI CIM).
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W3/43/2017/isprs-archives-XLII-4-W3-43-2017.pdf
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