ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLII-4-W3-43-2017 AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL Jara A. J. 1 Bocchi Y. 1 Fernandez D. 2 Molina G. 2 Gomez A. 2 University of Applied Sciences Western Switzerland (HES-SO), Technopole, 3, 3960 Sierre Switzerland HOP Ubiquitous S.L. (HOPU), Murcia, Spain 25 09 2017 XLII-4/W3 43 50 Copyright: © 2017 A. J. Jara et al. 2017 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLII-4-W3/43/2017/isprs-archives-XLII-4-W3-43-2017.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-4-W3/43/2017/isprs-archives-XLII-4-W3-43-2017.pdf

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).