Interoperability in IoT Through the Semantic Profiling of Objects

The emergence of smarter and broader people-oriented IoT applications and services requires interoperability at both data and knowledge levels. However, although some semantic IoT architectures have been proposed, achieving a high degree of interoperability requires dealing with a sea of non-integra...

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Main Authors: Andriy Mazayev, Jaime A. Martins, Noelia Correia
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8103762/
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author Andriy Mazayev
Jaime A. Martins
Noelia Correia
author_facet Andriy Mazayev
Jaime A. Martins
Noelia Correia
author_sort Andriy Mazayev
collection DOAJ
description The emergence of smarter and broader people-oriented IoT applications and services requires interoperability at both data and knowledge levels. However, although some semantic IoT architectures have been proposed, achieving a high degree of interoperability requires dealing with a sea of non-integrated data, scattered across vertical silos. Also, these architectures do not fit into the machine-to-machine requirements, as data annotation has no knowledge on object interactions behind arriving data. This paper presents a vision of how to overcome these issues. More specifically, the semantic profiling of objects, through CoRE related standards, is envisaged as the key for data integration, allowing more powerful data annotation, validation, and reasoning. These are the key blocks for the development of intelligent applications.
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spelling doaj.art-790f25ff58d844448407dc81748d312f2022-12-21T19:55:25ZengIEEEIEEE Access2169-35362018-01-016193791938510.1109/ACCESS.2017.27634258103762Interoperability in IoT Through the Semantic Profiling of ObjectsAndriy Mazayev0https://orcid.org/0000-0003-0495-9801Jaime A. Martins1https://orcid.org/0000-0001-9360-0221Noelia Correia2Center for Electronic, Optoelectronic and Telecommunications, University of Algarve, Faro, PortugalCenter for Electronic, Optoelectronic and Telecommunications, University of Algarve, Faro, PortugalCenter for Electronic, Optoelectronic and Telecommunications, University of Algarve, Faro, PortugalThe emergence of smarter and broader people-oriented IoT applications and services requires interoperability at both data and knowledge levels. However, although some semantic IoT architectures have been proposed, achieving a high degree of interoperability requires dealing with a sea of non-integrated data, scattered across vertical silos. Also, these architectures do not fit into the machine-to-machine requirements, as data annotation has no knowledge on object interactions behind arriving data. This paper presents a vision of how to overcome these issues. More specifically, the semantic profiling of objects, through CoRE related standards, is envisaged as the key for data integration, allowing more powerful data annotation, validation, and reasoning. These are the key blocks for the development of intelligent applications.https://ieeexplore.ieee.org/document/8103762/Machine-to-machine communicationsInternet of ThingsSemantic Webinteroperabilitymashups
spellingShingle Andriy Mazayev
Jaime A. Martins
Noelia Correia
Interoperability in IoT Through the Semantic Profiling of Objects
IEEE Access
Machine-to-machine communications
Internet of Things
Semantic Web
interoperability
mashups
title Interoperability in IoT Through the Semantic Profiling of Objects
title_full Interoperability in IoT Through the Semantic Profiling of Objects
title_fullStr Interoperability in IoT Through the Semantic Profiling of Objects
title_full_unstemmed Interoperability in IoT Through the Semantic Profiling of Objects
title_short Interoperability in IoT Through the Semantic Profiling of Objects
title_sort interoperability in iot through the semantic profiling of objects
topic Machine-to-machine communications
Internet of Things
Semantic Web
interoperability
mashups
url https://ieeexplore.ieee.org/document/8103762/
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