Dataset

Replication Data for: AI-Assisted RDF Authoring from JSON Data

This dataset accompanies the paper AI-Assisted RDF Authoring from JSON Data. It contains the metal-organic framework (MOF) synthesis JSON input used in the paper, the natural-language hints submitted to MetaConfigurator's AI assistant, the RML mappings generated from those hints, the RDF (JSON-LD) results obtained by executing the mappings, the SHACL shape used to validate the successful result, and the prompt, generated query, and CSV result of the AI-assisted SPARQL workflow.

The artifacts document three RML-generation runs and one SPARQL run: a minimal hint with gpt-4o (valid but shallow mapping), the same detailed hint with gpt-4o (retained as a failure case: unconditional parent-map links cause Cartesian products and drop required relations) and with gpt-5-mini (the successful case used in the paper), and a natural-language SPARQL request answered by gpt-5-mini. The prompts contain natural-language modeling instructions but no worked RML/Turtle snippets.

The deposited files are the exact artifacts evaluated in the paper. Model outputs can vary across invocations and service versions. See README.md for the full file inventory and reproduction instructions (including pySHACL validation).

Chemical Info

Data and Resources

Metadata Information

Field Value
DOI https://doi.org/10.18419/DARUS-6299
License URL
Source https://doi.org/10.18419/DARUS-6299
Version
Author Neubauer, Felix
Maintainer DaRUS
Language
MetadataPublished
Related Molecule
Field Value
No additional information available for this Dataset.
Data-Source Molecule ID Data-Source
The data in this table is sourced from UniChem at EBI.