Kontokostas dimitris (6 risultati)
Validating RDF Data
Gayo, Jose Emilio Labra; Prud'hommeaux, Eric; Boneva, Iovka; Kontokostas, Dimitris
- Brossura
Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 72,01
Spedizione gratuitaSpedito in U.S.A.Quantità: 10 disponibili
Condizione: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
Validating RDF Data (Synthesis Lectures on Data, Semantics, and Knowledge)
Gayo, Jose Emilio Labra; Prud'hommeaux, Eric; Boneva, Iovka; Kontokostas, Dimitris
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 89,79
EUR 3,46 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Validating RDF Data (Synthesis Lectures on the Semantic Web: Theory and Technology)
Gayo, Jose Emilio Labra; Prud'hommeaux, Eric; Boneva, Iovka; Kontokostas, Dimitris
- Brossura
Da: Leopolis, Kraków, PoloniaLeopolis
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 45,49
EUR 65,00 spedizioneSpedito da Polonia a U.S.A.Quantità: 1 disponibili
Soft cover. Condizione: 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. Th…is 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.
Validating RDF Data (Synthesis Lectures on Data, Semantics, and Knowledge)
Gayo, Jose Emilio Labra; Prud'hommeaux, Eric; Boneva, Iovka; Kontokostas, Dimitris
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 89,79
EUR 7,61 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.
Validating RDF Data (Synthesis Lectures on Data, Semantics, and Knowledge)
Gayo, Jose Emilio Labra; Prud'hommeaux, Eric; Boneva, Iovka; Kontokostas, Dimitris
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 90,51
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2017
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,06
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: 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 f…orm of data validation. This book intr.
