Converting data to RDF can be implemented in programming languages with many available facilitating packages like rdflib in Python and RDF4J in Java . Moreover, low-code approaches that use a graphical user interface with drag-and-drop interactions, offer an attractive solution for RDF conversion. For example, LinkedPipes-ETL encapsulates much of the complexity involved in mapping data to RDF through its user interface, allowing users to focus on ontology annotation and making it more accessible to researchers unfamiliar with programming or mapping languages. LinkedPipes-ETL was used to integrate data into knowledge graphs in several domains . Furthermore, some approaches does not require producing a physical RDF file to access or integrate datasets in a semantic format, but instead, create what is called a virtual knowledge graph (VKG) . A VKG platform, like Ontop ,