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EnMonitor: Experimentation over Large-scale Semantically Annotated Federated IoT data environment

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Rachit Agarwal
Nikolaos Georgantas
  • Function : Author
  • PersonId : 868414
Valerie Issarny
  • Function : Author
  • PersonId : 833417

Abstract

IoT applications are usually built on top of proprietary platforms that collect data from IoT devices. Furthermore, most applications rely on proprietary datasets, coming from their own sources. Thereby needing to deal with issues like interoperability and heterogeneity in the data. A solution is to add another layer (a platform in the middle that addresses the above-mentioned issues) and then build applications that use data made available via such platforms. As a proof of concept, we present EnMonitor, a prototype application, that is built on top of one such platform, called FIESTA-IoT. The application provides citizens with an understanding of the environment they live in with both local and global surrounding view.
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Dates and versions

hal-01579413 , version 1 (31-08-2017)
hal-01579413 , version 2 (23-01-2018)

Identifiers

  • HAL Id : hal-01579413 , version 2

Cite

Rachit Agarwal, David Gomez, Jorge Lanza, Luis Sanchez, Nikolaos Georgantas, et al.. EnMonitor: Experimentation over Large-scale Semantically Annotated Federated IoT data environment. 2018. ⟨hal-01579413v2⟩

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