MetaConfigurator: AI-Assisted RDF Authoring from JSON Data
Scientific workflows increasingly generate structured JSON data that is easy to exchange but difficult to interpret consistently across systems due to lacking semantic interoperability. While JSON Schema ensures structural validation, it provides no native support for Linked Data semantics. This paper presents an RDF Authoring View extending the open-source JSON Schema editor MetaConfigurator, enabling researchers to transform existing JSON, YAML, or CSV data into RDF using AI-assisted RML mappings, refine triples, execute SPARQL queries, visualize knowledge graphs, and export RDF serializations within a single integrated web interface. This workflow is supported by ontology-aware IRI aut...
| Authors | Felix Neubauer, Mahdi Jafarkhani, Kenichi Endo et al. |
|---|---|
| Primary category | cs.SE |
| Published | 5 June 2026 |
| Last updated at source | 8 July 2026 |
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