Proceedings of the Web Conference 2020 2020
DOI: 10.1145/3366423.3380229
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Stable Model Semantics for Recursive SHACL

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Cited by 18 publications
(61 citation statements)
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“…• Def a set of rules of the form s ← φ with s a shape name (referred to as the head of the rule) and φ a shape (the body of the rule), such that each s ∈ S appears exactly once in the head of a rule, and • T a set of (concept) inclusions of the form φ ⊆ s, with φ a shape that does not mention any shape names 1 , and s a shape name. 1 The condition that φ does not mention any shape names will entail that the target query can be evaluated on the underlying…”
Section: Formalization Of Shaclmentioning
confidence: 99%
“…• Def a set of rules of the form s ← φ with s a shape name (referred to as the head of the rule) and φ a shape (the body of the rule), such that each s ∈ S appears exactly once in the head of a rule, and • T a set of (concept) inclusions of the form φ ⊆ s, with φ a shape that does not mention any shape names 1 , and s a shape name. 1 The condition that φ does not mention any shape names will entail that the target query can be evaluated on the underlying…”
Section: Formalization Of Shaclmentioning
confidence: 99%
“…In this work, we consider previously introduced extended semantics of SHACL that define how to interpret recursive SHACL documents. These can be characterised by two dimensions, namely the choice between (1) partial and total assignments [8] and (2) between brave and cautious validation [2], which we will subsequently formally introduce. Together, these two dimensions result in the four extended semantics studied in this article, namely brave-partial, brave-total, cautiouspartial and cautious-total.…”
Section: Semantics Of Full Shaclmentioning
confidence: 99%
“…Together, these two dimensions result in the four extended semantics studied in this article, namely brave-partial, brave-total, cautiouspartial and cautious-total. We do not consider the less obvious dimension of stable-model semantics [2], which relates to non-monotone reasoning in logic programs.…”
Section: Semantics Of Full Shaclmentioning
confidence: 99%
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