Order Total (1 Item Items):
Shipping Destination:
Boneva Iovka (5 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (5)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (5)
- As New, Fine or Near Fine (No further results match this refinement)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (5)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (2)
- Not Print on Demand (2)
Language (1)
Price
- Any Price
- Under US$ 25 (No further results match this refinement)
- US$ 25 to US$ 50 (No further results match this refinement)
- Over US$ 50
Free Shipping
- Free Shipping to U.S.A. (No further results match this refinement)
Seller Location
Seller Rating
-
Condition: New. 1st edition NO-PA16APR2015-KAP.
-
Validating RDF Data (Synthesis Lectures on the Semantic Web: Theory and Technology)
Language: English
Published by Morgan & Claypool Publishers, 2017
ISBN 10: 1681731649 ISBN 13: 9781681731643
Soft cover. Condition: New. 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.
-
Condition: New. Print on Demand.
-
Condition: New. PRINT ON DEMAND.
-
Validating RDF Data
Language: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2017
ISBN 10: 303179477X ISBN 13: 9783031794773
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 intr.
