Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

With the popularity of RDF as an independent data model came the need for specifying
constraints on RDF graphs, and for mechanisms to detect violations of such constraints. One …

Integration of heterogeneous data sources in a single representation is an active field with
many different tools and techniques. In the case of text-based approaches—those that base …

Knowledge graphs have emerged as expressive data structures for Web data. Knowledge
graph potential and the demand for ecosystems to facilitate their creation, curation, and …

Abstract shacl (Shapes Constraint Language) is a specification for describing and validating
RDF graphs that has recently become a W3C recommendation. While the language is …

In many processes, ranging from medical treatments to supply chains and employee
management, there is a growing need to gather information with the objective of enhancing …

SHACL (SHape Constraint Language) is a W3C recommendation for validating graph-
based data against a set of constraints (called shapes). Importantly, SHACL allows to define …

Abstract The Shapes Constraint Language (SHACL) allows for formalizing constraints over
RDF data graphs. A shape groups a set of constraints that may be fulfilled by nodes in the …

As the latest achievement of the development in semiotics, knowledge graph has been
recognized and widely used by more and more researchers for its rich semantic information …

SHACL is a W3C-proposed language for expressing structural constraints on RDF graphs.
The recommendation only specifies semantics for non-recursive SHACL; recently, some …