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Enhanced IoT Data Sharing Management using semantic rule manager and Data Provenance

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Abstract

IoT main goal is to provide trusted high-quality services and innovative solutions to its users by transforming the captured data into meaningful information. In this context, it is in the best interest of the community to encourage entities within the IoT environment to share their data, and therefore help contribute to the overall public interest, generate technological progress, and build the next generation of services for greater convenience and value. In order to achieve this, it is essential to reassure all the agents implicated throughout the process about the credibility of their own knowledge systems. This means (i) allow data owners to be informed where their data is distributed and in which processes it’s being involved, and (ii) allow service provider entities to ensure they meet the technical and legal requirements of a given activity and be able to trace the source of the potentially useful data as well as its history processing to assess its quality. In this paper, we propose an approach to enhance IoT data sharing management using three principal features including metadata, semantic rule manager, and data provenance.
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Dates and versions

hal-03468330 , version 1 (07-12-2021)

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  • HAL Id : hal-03468330 , version 1

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Nouha Laamech, Manuel Munier, Cong-Duc Pham. Enhanced IoT Data Sharing Management using semantic rule manager and Data Provenance. 2021 Workshop on Data Management in Connected Environments for Sustainable development and Environmental protection (DMCESE), Sep 2021, Panama City, Panama. ⟨hal-03468330⟩

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