Volume XLII-4/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W3, 43-50, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W3-43-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W3, 43-50, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W3-43-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  25 Sep 2017

25 Sep 2017

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

A. J. Jara1, Y. Bocchi1, D. Fernandez2, G. Molina2, and A. Gomez2 A. J. Jara et al.
  • 1University of Applied Sciences Western Switzerland (HES-SO), Technopole, 3, 3960 Sierre Switzerland
  • 2HOP Ubiquitous S.L. (HOPU), Murcia, Spain

Keywords: FIWARE, Context Awareness, ETSI CIM, Data Models, Smart Cities, Smart Destinations

Abstract. 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).