eWoT: A Semantic Interoperability Approach for Heterogeneous IoT Ecosystems Based on the Web of Things
Ontology Engineering Group (OEG), Universidad Politécnica de Madrid, 28660 Madrid, Spain
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These authors contributed equally to this work.
Sensors 2020, 20(3), 822; https://doi.org/10.3390/s20030822
Received: 30 November 2019 / Revised: 20 January 2020 / Accepted: 27 January 2020 / Published: 4 February 2020
(This article belongs to the Special Issue Semantics for Sensors, Networks and Things)
With the constant growth of Internet of Things (IoT) ecosystems, allowing them to interact transparently has become a major issue for both the research and the software development communities. In this paper we propose a novel approach that builds semantically interoperable ecosystems of IoT devices. The approach provides a SPARQL query-based mechanism to transparently discover and access IoT devices that publish heterogeneous data. The approach was evaluated in order to prove that it provides complete and correct answers without affecting the response time and that it scales linearly in large ecosystems.
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MDPI and ACS Style
Cimmino, A.; Poveda-Villalón, M.; García-Castro , R. eWoT: A Semantic Interoperability Approach for Heterogeneous IoT Ecosystems Based on the Web of Things. Sensors 2020, 20, 822. https://doi.org/10.3390/s20030822
AMA Style
Cimmino A, Poveda-Villalón M, García-Castro R. eWoT: A Semantic Interoperability Approach for Heterogeneous IoT Ecosystems Based on the Web of Things. Sensors. 2020; 20(3):822. https://doi.org/10.3390/s20030822
Chicago/Turabian StyleCimmino, Andrea, María Poveda-Villalón, and Raúl García-Castro . 2020. "eWoT: A Semantic Interoperability Approach for Heterogeneous IoT Ecosystems Based on the Web of Things" Sensors 20, no. 3: 822. https://doi.org/10.3390/s20030822
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