Guillaume Chanson’s scientific contributions

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Publications (1)


Figure 1. ITU-T (International Telecommunication Union) reference architecture for Smart City Urban Platforms.
Figure 2. ESPRESSO project reference architecture.
Figure 3. mySMARTLife proposed Open Specifications Framework.
Figure 4. Data management procedure defined within mySMARTLife.
Figure 5. SensorThingsAPI (application programming interface) entity-relationship schema [29].

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Interoperable Open Specifications Framework for the Implementation of Standardized Urban Platforms
  • Article
  • Full-text available

April 2020

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1,753 Reads

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27 Citations

Sensors

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Joachim Schonowski

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The current cities’ urban challenges go through digitalization and integration of new technologies under the perspective of actual and future ecological, as well as socio-economic commitments. This process is translated into the Open Standardized Urban Data Platform, which plays a pivotal role. Within its main functionalities, data ingestion, analytics and services as vertical domains become necessary to create more environmentally friendly cities. However, there still exist some deficits. Among them, openness and interoperability are outlined. On the one hand, there is a lack of open data initiatives for increasing the smart services stock. On the other hand, interoperability depends upon vendors and integrators, reducing the possibilities of Smart City growth. In this context, under the mySMARTLife project (GA #731297) umbrella, an Open Specifications Framework has been developed in order to address four main issues: (1) data interoperability; (2) services or verticals interoperability; (3) openness; and (4) replicability. It enlightens the implementation and integration of multiple city domains (like infrastructures, mobility, energy, buildings) for smart management and big-data analytics. Its applicability is demonstrated in the three lighthouse cities of the project, Nantes (France), Hamburg (Germany) and Helsinki (Finland).

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Citations (1)


... Organisations and teams that share and gather data can access a wide range of datasets, improve their data analysis skills, and find new business possibilities. To make it easy to share and join data from various sources and systems, it's important to try to standardise and interoperate data (Hernández et al. 2020). Even after all the facts are known, ethics will still play a big part in how decisions are made. ...

Reference:

Data-Driven Decision-Making: Leveraging Analytics for Performance Improvement
Interoperable Open Specifications Framework for the Implementation of Standardized Urban Platforms

Sensors