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. [Book Section]
Documents
30680:607789
PDF
Things Data Interoperability Through Annotating oneM2M resources for NGSI-LD (2).pdf - Accepted Version
Available under License All rights reserved.
Things Data Interoperability Through Annotating oneM2M resources for NGSI-LD (2).pdf - Accepted Version
Available under License All rights reserved.
Download (714kB) | Preview
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.
More Information
Statistics
Downloads
Downloads per month over past year
Metrics
Altmetric Badge
Dimensions Badge
Share
Actions (login required)
View Item |