When generating notice/RDF, the ted-rdf-mapping-eforms repository map N source schemas to a single target ontology (v4.0), resulting in N individual mappings. With each update to the ontology, all N mappings must also be updated, adding complexity and cost.
By introducing an intermediate model as a pivot, we can simplify ontology upgrades. The concept is to map the N source schemas to the pivot, and then map the pivot to RDF. This reduces the number of mappings to maintain during Ontology upgrades to one.
One approach for this pivot model is to use an in-memory relational database (RDB), where the XML data is mapped to relational tables. RDF can then be produced from the relational schema using a mapping language such as R2RML.
This method will enhance performance and clarity in the mapping process.