Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

EnMonitor: Large-scale semantically annotated environment data based dashboard

Abstract : IoT applications are usually built on top of proprietary platforms that collect data from IoT devices. Further, some applications have been developed that use similar data coming from various sources. Thereby needing to deal with issues like interoperability and heterogene-ity in the data. A solution is to add another layer (a platform in a middle that addresses above-mentioned issues) and then build applications that use data made available via such platforms. As a proof of concept, we present our application EnMonitor that is built on top of one such platform called FIESTA-IoT platform. The application provides citizens with an understanding of the environment they live in with both local and global surrounding view.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

Cited literature [6 references]  Display  Hide  Download
Contributor : Agarwal Rachit Connect in order to contact the contributor
Submitted on : Thursday, August 31, 2017 - 10:21:07 AM
Last modification on : Tuesday, January 11, 2022 - 11:16:04 AM
Long-term archiving on: : Friday, December 1, 2017 - 6:01:29 PM


Files produced by the author(s)


  • HAL Id : hal-01579413, version 1



Rachit Agarwal, David Gomez, Jorge Lanza, Luis Sanchez, Nikolaos Georgantas, et al.. EnMonitor: Large-scale semantically annotated environment data based dashboard. 2017. ⟨hal-01579413v1⟩



Les métriques sont temporairement indisponibles