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Eugene Song, Helbert da Rocha, Antonio Espirito-Santo, Riccardo Brama
Abstract
Internet of Things (IoT) ecosystems are highly heterogeneous in terms of smart sensors/devices, connectivity, communication protocols, data formats, and platforms. The major challenges of IoT ecosystems are fragmentation or disintegration and cross-domain interoperability. The Web of Things (WoT) integrates the IoT with Web technologies to address these IoT challenges. Semantic WoT (SWoT) integrates the WoT with Semantic Web technologies to achieve semantic interoperability of IoT ecosystems. Aiming to promote semantic communication, thus achieving semantic interoperability of Institute of Electrical and Electronics Engineers (IEEE) P1451.0-based sensor networks for IoT applications, this paper introduces the IEEE P1451.0-based WoT ontology. An IEEE P1451.0-based WoT thing model is developed based on the combination of the IoT thing capability model and the World Wide Web Consortium (W3C) WoT thing model. The P1451.0-based WoT thing model consists of identification and context, behaviors, properties and data schema, security, time synchronization and protocol bindings for 1451 WoT Things – e.g. network-capable application processors (NCAP), application (APP), transducer interface modules (TIM), and smart transducers (sensors and/or actuators). A WoT thing description (TD) example of an IEEE P1451.0-based smart sensor is provided in the paper to verify the developed P1451.0-based WoT ontology.
Proceedings Title
Proceedings of The 2024 Annual Conference of the IEEE Industrial Electronics Society (IECON)
Conference Dates
November 3-6, 2024
Conference Location
Chicago, IL, US
Conference Title
The 2024 Annual Conference of the IEEE Industrial Electronics Society (IECON)
Song, E.
, da Rocha, H.
, Espirito-Santo, A.
and Brama, R.
(2025),
IEEE 1451.0-based Web of Thing (WoT) Ontology, Proceedings of The 2024 Annual Conference of the IEEE Industrial Electronics Society (IECON), Chicago, IL, US, [online], https://doi.org/10.1109/IECON55916.2024.10905970, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957802
(Accessed March 25, 2025)