Materializing the Web of Linked Data

Nonfiction, Computers, Database Management, Information Storage & Retrievel, General Computing
Cover of the book Materializing the Web of Linked Data by Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos, Springer International Publishing
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Author: Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos ISBN: 9783319160740
Publisher: Springer International Publishing Publication: April 10, 2015
Imprint: Springer Language: English
Author: Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
ISBN: 9783319160740
Publisher: Springer International Publishing
Publication: April 10, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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