Semantic-Aware IoT Platforms
Mahdi Ben Alaya, Khalil Drira, Ghada Gharbi · 2017
IoT paradigm applies to systems composed by numerous devices sharing information and making cooperative decisions with little or no human intervention. The IoT standard defined by one M2M intiative furnishes a standardised framework for interoperable services that satisfies most of IoT modelling requirements. Prior standards and also oneM2M, while focusing on achieving interoperability at the communication level, do not achieve interoperability at the semantic level. In addition, the oneM2M standard does not address the issue of system adaptations to address system increasing complexity and evolving execution context. In this paper, the OM2M platform is presented as a solution for the interoperability challenge of IoT. An expressive ontology for IoT called IoT-O, making best use of already defined ontologies in specific domains such as sensor, observation, service, quantity kind, units, or time, is described to support semantic data. Finally, FRAMESELF framework is introduced to retrofit self-management capabilities into an IoT system.