An analysis of context-aware data models for smart cities : towards FIWARE and ETSI CIM emerging data model

Jara, Antonio (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Bocchi, Yann (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Fernandez, David (HOP Ubiquitous S.L. (HOPU), Murcia, Spain) ; Molina, German (HOP Ubiquitous S.L. (HOPU), Murcia, Spain) ; Gomez, Andrea (HOP Ubiquitous S.L. (HOPU), Murcia, Spain)

Smart Cities requires the support of context-aware and enriched semantic descriptions to support a scalable and cross-domain develop-ment 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).


Keywords:
Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Puebla, Mexico, 4-6 October 2017
Date:
Puebla, Mexico
4-6 October 2017
2017
Pagination:
8 p.
Published in:
Proceedings of 2nd International Conference on Smart Data and Smart Cities
External resources:
Appears in Collection:



 Record created 2018-04-11, last modified 2019-06-11

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