The document discusses a semi-automatic, example-driven approach to create linked data mapping, aiming to improve access to data by generating RDF terms and triples using data schema and ontologies. It highlights various challenges in current solutions, such as manual effort and potential errors, and emphasizes the need for better alignment with original data while creating linking rules. The proposed method reduces manual effort by allowing user feedback and automating processes as much as possible.