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Published by Springer International Publishing, 2015
ISBN 10: 3319160737 ISBN 13: 9783319160733
Language: English
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Published by Springer-Verlag New York Inc, 2016
ISBN 10: 331935745X ISBN 13: 9783319357454
Language: English
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Add to basketPaperback. Condition: Brand New. reprint edition. 148 pages. 9.25x6.10x0.34 inches. In Stock.
Published by Springer-Verlag New York Inc, 2015
ISBN 10: 3319160737 ISBN 13: 9783319160733
Language: English
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Add to basketHardcover. Condition: Brand New. 2015 edition. 148 pages. 9.50x6.25x0.75 inches. In Stock.
Published by Springer, Berlin, Springer International Publishing, Springer, 2016
ISBN 10: 331935745X ISBN 13: 9783319357454
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data. It presents how Linked Data is used for web-scale data integration, information management and search.Special emphasis is given to the publication of Linked Data from relational databases as well as from real-time sensor data streams. The authors also trace the transformation from the document-based World Wide Web into a Web of Data.Materializing the Web of Linked Data is addressed to researchers and professionals studying software technologies, tools and approaches that drive the Linked Data ecosystem, and the Web in general.
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Published by Berlin Springer International Publishing Springer Okt 2016, 2016
ISBN 10: 331935745X ISBN 13: 9783319357454
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data. It presents how Linked Data is used for web-scale data integration, information management and search.Special emphasis is given to the publication of Linked Data from relational databases as well as from real-time sensor data streams. The authors also trace the transformation from the document-based World Wide Web into a Web of Data.Materializing the Web of Linked Data is addressed to researchers and professionals studying software technologies, tools and approaches that drive the Linked Data ecosystem, and the Web in general. 133 pp. Englisch.
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Add to basketCondition: New. PRINT ON DEMAND pp. 148.