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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2020 - 2

IoT Framework for Interoperability in the oneM2M Architecture

KANG, S. See more information about KANG, S. on SCOPUS See more information about KANG, S. on IEEExplore See more information about KANG, S. on Web of Science, CHUNG, K. See more information about CHUNG, K. on SCOPUS See more information about CHUNG, K. on SCOPUS See more information about CHUNG, K. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,808 KB) | Citation | Downloads: 263 | Views: 371

Author keywords
inference mechanisms, information science, internet of things, semantic web, standardization

References keywords
semantic(15), internet(12), interoperability(8), ontology(5), computing(5), access(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-05-31
Volume 20, Issue 2, Year 2020, On page(s): 11 - 18
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.02002
Web of Science Accession Number: 000537943500002
SCOPUS ID: 85087450714

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The IoT is expected that many devices and sensors can be interconnected and interact over the Internet. Conventional IoT solutions rely on vertically developed machine-to-machine solutions that yield limited interoperability. To ensure interoperability between IoT solutions, the oneM2M global initiative defines a horizontal M2M service layer. To provide more intelligent services, such as autonomous interaction services, semantic-level interoperability should be ensured. Previous studies have proposed solutions based on ontologies to realize semantic level interoperability. However, in dynamic environments such as IoT, where data generated by many devices must be processed, an ontology leads to a system performance degradation owing the overhead of the resource mapping mechanism. In this study, we propose a semantic IoT framework based on the Resource Description Framework graph extension scheme. We utilize an aggregator based on the oneM2M standard platform. All data are represented as an RDF graph, and reconfigured dynamically through semantic queries. The proposed semantic IoT gateway provides a user-based rule management mechanism via the Web, thereby enabling rule configuration to be dynamically tailored to user requirements. Finally, the performance is evaluated compared with a solution that utilizes an ontology in a real IoT system.

References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 1,191 TCR
SCOPUS® Citations for all references: 2,271 TCR

Web of Science® Average Citations per reference: 44 ACR
SCOPUS® Average Citations per reference: 84 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-01-15 03:12 in 145 seconds.

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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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