IoT Middleware Architecture based on Ontologies to Model Logistic Process


  • S. Aoulad Allouch National School of Applied Sciences Tangier
  • K. Amechnoue National School of Applied Sciences Tangier
  • I. Achatbi National School of Applied Sciences Tangier



Component, IoT, Middleware, Semantic and Ontology, Supply Chain, Logistic


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 real-time 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.


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How to Cite

Allouch, S. A., Amechnoue, K., & Achatbi, I. (2017). IoT Middleware Architecture based on Ontologies to Model Logistic Process. Transactions on Machine Learning and Artificial Intelligence, 5(4).



Special Issue : 1st International Conference on Affective computing, Machine Learning and Intelligent Systems