A SHACL-DS Implementation in Python [C. Debruyne]

This thesis proposes a Python implementation of SHACL-DS, based on the ESWC-accepted paper “From RDF Graph Validation to RDF Dataset Validation with SHACL-DS” by Davan Chiem Dao and Christophe Debruyne. The goal is to build a practical validator that extends SHACL from single RDF graphs to full RDF datasets, making dataset-level constraint checking directly usable in real-world workflows. In addition to implementation, the work will include a benchmarking study to evaluate performance and scalability, and the identification, development, and validation of representative use cases that demonstrate where SHACL-DS provides clear benefits over graph-only validation.