A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs
A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs
复制标题
SHACL 回顾:从数据验证到 RDF 图的模式推理
DOI:
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发表时间:
2021
期刊:
影响因子:
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通讯作者:
G. Konstantinidis
中科院分区:
文献类型:
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作者:
Paolo Pareti;G. Konstantinidis
We present an introduction and a review of the Shapes Constraint Language (SHACL), the W3C recommendation language for validating RDF data. A SHACL document describes a set of constraints on RDF nodes, and a graph is valid with respect to the document if its nodes satisfy these constraints. We revisit the basic concepts of the language, its constructs and components and their interaction. We review the different formal frameworks used to study this language and the different semantics proposed. We examine a number of related problems, from containment and satisfiability to the interaction of SHACL with inference rules, and exhibit how different modellings of the language are useful for different problems. We also cover practical aspects of SHACL, discussing its implementations and state of adoption, to present a holistic review useful to practitioners and theoreticians alike.
DOI:
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发表时间:
2016
期刊:
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影响因子:
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作者:
Amarilli A
通讯作者:
Amarilli A
DOI:
10.4230/lipics.icdt.2018.15
发表时间:
2018
期刊:
影响因子:
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作者:
Jean Christoph Jung;Carsten Lutz;Mauricio Martel;Thomas Schneider
通讯作者:
Thomas Schneider