Validating RDF Data (Synthesis Lectures on the Semantic Web: Theory and Technology)
Language: English
Published by Morgan & Claypool Publishers, 2017
- Softcover
- New
Condition: New
£ 38.49
Quantity: 1 available
Add to basketItem description from seller
8vo (23.5 cm), XXIV, 304 pp. Laminated wrappers. Synopsis: RDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad data differ across communities, fields, and tasks, but nearly all involve some form of data validation. This book introduces data validation and describes its practical use in day-to-day data exchange. The Semantic Web offers a bold, new take on how to organize, distribute, index, and share data. Using Web addresses (URIs) as identifiers for data elements enables the construction of distributed databases on a global scale. Like the Web, the Semantic Web is heralded as an information revolution, and also like the Web, it is encumbered by data quality issues. The quality of Semantic Web data is compromised by the lack of resources for data curation, for maintenance, and for developing globally applicable data models. At the enterprise scale, these problems have conventional solutions. Master data management provides an enterprise-wide vocabulary, while constraint languages capture and enforce data structures. Filling a need long recognized by Semantic Web users, shapes languages provide models and vocabularies for expressing such structural constraints. This book describes two technologies for RDF validation: Shape Expressions (ShEx) and Shapes Constraint Language (SHACL), the rationales for their designs, a comparison of the two, and some example applications.…
Seller Inventory # 008468
- Title
- Validating RDF Data (Synthesis Lectures on the Semantic Web: Theory and Technology)
- Author
- Gayo, Jose Emilio Labra; Prud'hommeaux, Eric; Boneva, Iovka; Kontokostas, Dimitris
- Publisher
- Morgan & Claypool Publishers
- Publication year
- 2017
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1681731649
- ISBN 13
- 9781681731643
- Seller catalogs
- Computer science, Science
RDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad data differ across communities, fields, and tasks, but nearly all involve some form of data validation. This book introduces data validation and describes its practical use in day-to-day data exchange.
The Semantic Web offers a bold, new take on how to organize, distribute, index, and share data. Using Web addresses (URIs) as identifiers for data elements enables the construction of distributed databases on a global scale. Like the Web, the Semantic Web is heralded as an information revolution, and also like the Web, it is encumbered by data quality issues. The quality of Semantic Web data is compromised by the lack of resources for data curation, for maintenance, and for developing globally applicable data models.
At the enterprise scale, these problems have conventional solutions. Master data management provides an enterprise-wide vocabulary, while constraint languages capture and enforce data structures. Filling a need long recognized by Semantic Web users, shapes languages provide models and vocabularies for expressing such structural constraints.
This book describes two technologies for RDF validation: Shape Expressions (ShEx) and Shapes Constraint Language (SHACL), the rationales for their designs, a comparison of the two, and some example applications.
"Synopsis" may belong to another edition of this title.
About the Author
Iovka Boneva is an Associate Professor at the University of Lille, France, and a member of the Links research project affiliated to Inria―Lille Nord Europe and CRIStAL (Centre de Recherche en Informatique, Signal et Automatique). She has been working on expressive languages for describing and querying tree-structured data, and more recently on data exchange for relational and graph data. She was a member of the W3C RDF Data Shapes Working Group and is a member of the W3C Shape Expressions community group. She has developed the theoretical foundations of the Shape Expressions Language.
Dimitris Kontokostas is a Knowledge Engineer and Semantic Web researcher at the University of Leipzig and the DBpedia Association. He has been working on knowledge representation and knowledge management of large-scale knowledge graphs and data quality. Dimitris is a member of the RDF Data Shapes working group, a member and the chairman of the Shape Expressions Community Group, and co-editor of the SHACL W3C Recommendation. He is the creator of RDFUnit, a tool and unit-testing framework for RDF validation that supports SHACL, OSLC Resource Shapes, and DC Description Set Profiles.
"About the title" may belong to another edition of this title.
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