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An analysis of context-aware data models for Smart Cities: Towards FIWARE and ETSI CIM emerging data model
Art der Publikation: Konferenzbericht
Zitat:
Zeitschrift: 2nd International Conference on Smart Data and Smart Cities
Jahr: 2017
Monat: Oktober
Abriss: 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).
Schlagworte: Context Awareness, Data Models, ETSI CIM, FIWARE, Smart Cities, Smart Destinations
Autoren Bocchi, Yann
Jara, Antonio J
Hinzugefügt von: []
Gesamtbewertung: 0
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