A 2018 handbook on RDF validation covering ShEx, SHACL, and data quality

The extract presents Validating RDF Data (2018) by Jose E. Labra Gayo, Eric Prud’hommeaux, Iovka Boneva, and Dimitris Kontokostas, published by Morgan & Claypool. Contents include RDF and the Web of Data, data quality, the RDF validation problem, Shape Expressions, and SHACL topics such as shapes graphs, cardinality, and logical constraints.

Teams that publish RDF or JSON-LD need more than vocabularies; they need enforceable shapes. This book is a single reference that ties validation requirements to ShEx and SHACL practice, which matters for content engineering and knowledge-graph pipelines that must reject bad graphs early.

Governed semantic models depend on shapes as contracts over graphs. The book’s framing—validation requirements, prior approaches, then ShEx and SHACL—maps directly to treating shared meaning as something systems can check, not only document.

The HTML edition is described as a living publication with errata and example source, so implementers can track corrections alongside the fixed print citation.