IoT Middleware Architecture based on Ontologies to Model Logistic Process
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4
Abstract
In recent years, the Internet of Things (IoT) become a promising topic of technical social and economic significance, especially with the high number of developed sensors and technologies. Logistic applications are a perfect domain of IoT as it adds new functionalities in identification, traceability, storage and realtime tracking of good in the supply chain. Handling the huge quantities of heterogeneous IoT components and logistic items is an important challenge. We present in this paper a new Internet of Things middleware architecture for logistic transport applications. This architecture focuses mainly on a semantic model that uses ontologies for sensor data representation by describing the main entities involved in the logistic scenario.
Authors and Affiliations
S. Aoulad Allouch, K. Amechnoue, I. Achatbi
Keywords
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- EP ID EP308356
- DOI 10.14738/tmlai.54.2978
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