Shapes from Examples: Foundations of Shape Learning in Recursive SHACL
SHACL shapes enable data graph validation, making automatic shape learning essential for knowledge graph applications. We investigate the well-known fitting approach to this task: given sets P and N of positive and negative example nodes from an input graph, compute a shape expression C, possibly using shape names defined in a recursive shape catalogue, that validates at every node in P and none in N. We focus on the case where C is written in a core fragment of SHACL corresponding to the Description Logic ELI. For the catalogue, we consider the well-founded, stable, and supported semantics. We address fitting existence and most specific fitting computation, establish tight exponential-ti...
| Authors | Bente Gortworst, Cem Okulmus, Magdalena Ortiz et al. |
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| Primary category | cs.AI |
| Published | 30 July 2026 |
| Last updated at source | 6 August 2026 |
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