Things Data Interoperability Through Annotating oneM2M resources for NGSI-LD Entities

KUMAR, Sunil, JEONG, SeungMyeong, AHN, Il-Yeop and JARWAR, Muhammad Aslam (2022). Things Data Interoperability Through Annotating oneM2M resources for NGSI-LD Entities. In: 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). Los Alamitos, California., IEEE Computer Society Conference Publishing Services, 119-124.

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Abstract

In this era of Information and Communication Technology (ICT) and the Industrial Internet of Things (IIoT),semantic interoperability plays an important role in interworking among different standards. One such standard is oneM2M, which supports semantic interoperability between non-semantic oneM2M resource model and semantic data, but it is only limited to Resource Description Framework (RDF) triple data. Where Next Generation Service Interfaces – Linked Data (NGSI-LD) – provides information model and protocol for enhancing the capabilities to represent more complex structures of Linked Data, limited research has been conducted regarding such framework or protocol to support the interpretation and translation among these two different standards. This paper proposes a mapping protocol for interpreting and translating non-semantic oneM2M resource data to NGSI-LD interfaces.

Item Type:	Book Section
Additional Information:	© 2022 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Conference 22-25 August 2022, Espoo Finland.
Identification Number:	https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00056
Page Range:	119-124
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	08 Sep 2022 08:59
Last Modified:	12 Oct 2023 09:30
URI:	https://shura.shu.ac.uk/id/eprint/30680

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