AI Research
NL2SHACL-Bench: A Benchmark Suite for Natural Language to SHACL Translation
New benchmark addresses the critical gap in translating natural language into semantic data validation shapes.
SHACL is a core technology for validating the conformance of RDF knowledge graphs (KGs). Yet, authoring SHACL shapes requires technical expertise that most domain experts lack. Translating natural language requirements into SHACL (NL2SHACL) would lower this barrier. However, ther...
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ArXiv CS.AI
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ArXiv CS.AI
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Bridging the gap between natural language requirements and semantic data validation is crucial for democratizing knowledge graph management. This benchmark provides the necessary standardized framework to evaluate how effectively LLMs can interpret complex structural constraints for RDF data.
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