Description
From the paper: SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs, we seem to find SDM-RDFizer has such a capability for updating KG incrementally while new data is coming (eg. in streaming way...)
Concretely, we have built a KG using SDM-RDFizer from multi-datasources while facing an IoT case, and IoT data is still coming by collecting a lot of sensors and transfering message middleware (eg.kafka), then, we need to constly update the previous KG to reflect the recent data change, however, we want not to build the KG from scratch.
Instead, we want to update the previous built KG incrementally to add/update the data and reach the real time effective as soon as possible.
So, I want to ask the team whether supporting the above case or not?
Thanks!