@@ -906,7 +906,7 @@ Synchronization approaches duplicate data, but enable more efficient information
In the following, the aspects of the proposed interworking approaches in CIM 022 <ahref="#_ref_i.6">[i.6]</a> that are relevant for the discussion in this document are sketched. For details, please refer to <ahref="#_ref_i.6">[i.6]</a>.
The first approach specified in CIM 022 <ahref="#_ref_i.6">[i.6]</a> is a label-based, dynamic interworking scheme. The idea is that specific labels are introduced that are used to label resources in the oneM2M system as show in Table 7.3.2.2-1.
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@@ -920,11 +920,22 @@ The detailed information that is needed for the mapping of the NGSI-LD Attribute
**Table 7.3.2.2-2 Interworking mapping using labels - mapping rule**


The IPE discovers the labelled resources, retrieves the information from the labeled and identified additional resources and uses the mapping rule to create the NGSI-LD entity information that is then updated in the NGSI-LD Context Broker. Thus, the approach is uni-directional, making information originally available in the oneM2M system also available in the NGSI-LD Context Broker.
#### 7.3.2.3 Ontology-based, dynamic interworking
The difference to the label-based interworking approach described in Clause 7.3.2.2 is that the mapping information is not contained in labels, but rather in a semantic descriptor child resource. The semantic information that describes the mapping is specified following an ontology that is sketched in Figure 7.3.2.3-1.
The IPE uses semantic discovery to find the relevant resources, retrieves the information from the semantically annotated resource plus any additional resources specified in the semantic descriptions, and, together with the mapping information in the semantic descriptor, created the NGSI-LD entity information that the IPE then uses to update the NGSI-LD Context Broker. Again, the approach is uni-directional, making information originally available in the oneM2M system also available in the NGSI-LD Context Broker.
# 8 Mapping between the information stored in oneM2M resources and the NGSI-LD information model
<mark>Study the mapping between the information stored in oneM2M resources and the NGSI-LD information model. This includes, but is not limited to the current oneM2M semantic models (in particular SDT and the oneM2M base ontology, including SAREF integration) to the NGSI-LD information model, with the goal of making it available through an integration of NGSI-LD API and the Mca reference point. This may lead to an evolution of the current NGSI-LD and Mca, and the related information models.</mark>