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

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.
Type de document :
Pré-publication, Document de travail
Submitted to WWW 2018 Demo Track. 2018
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https://hal.inria.fr/hal-01579413
Contributeur : Agarwal Rachit <>
Soumis le : mardi 23 janvier 2018 - 14:11:54
Dernière modification le : jeudi 24 mai 2018 - 01:18:43
Document(s) archivé(s) le : jeudi 24 mai 2018 - 12:10:47

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  • HAL Id : hal-01579413, version 2

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Rachit Agarwal, David Gomez, Jorge Lanza, Luis Sanchez, Nikolaos Georgantas, et al.. EnMonitor: Experimentation over Large-scale Semantically Annotated Federated IoT data environment. Submitted to WWW 2018 Demo Track. 2018. 〈hal-01579413v2〉

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