Proceedings Article10.1109/AIMS.2017.15
Semantic-Aware IoT Platforms
Mahdi Ben Alaya,Khalil Drira,Ghada Gharbi +2 more
- 25 Jun 2017
- pp 8-13
4
TL;DR: The OM2M platform is presented as a solution for the interoperability challenge of IoT and 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.
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Abstract: 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 oneM2M 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.
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Citations
A generic Internet of things (IoT) platform supporting plug-and-play device management based on the semantic web
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Future of Wearable Devices Using IoT Synergy in AI
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A Review of Semantic Sensor Technologies in Internet of Things Architectures
Gergely Honti,János Abonyi +1 more
TL;DR: The explored trends show that ontologies will play an even more essential role in interlinked IoT systems as interoperability and the generation of controlled linkable data sources should be based on semantically enriched sensory data.
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