Things Data Interoperability: Linking Annotated Entities in oneM2M
Sunil Kumar, SeungMyeong Jeong, Seongyun Kim · 2022
The semantic graphs have been subject to promising research for representing and enhancing Internet of Things data, in which RDF triples and LPG have been widely considered each with its own features and usages. Different Internet of Things standards have supported semantic graphs in their specifications, however large amount of Internet of Things data is utilized and exchanged in their conventional formats, which needs to be annotated in order to utilize the full potential of semantic graphs in such environments. This paper proposes a mapping protocol for interpreting and translating the non-semantic oneM2M resources to NGSI-LD format with an emphasis on creating relationships among the annotated NGSI-LD Entities. As proof of concept, an annotation example has been illustrated based on the public parking use case scenario.