Materializing the Web of Linked Data [electronic resource] / by Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos.

By:

Konstantinou, Nikolaos [author.]

Contributor(s):

Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XIV, 133 p. 28 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319160740

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

006.312 23

LOC classification:

QA76.9.D343

Online resources:

Click here to access online

Contents:

Introduction: Linked Data and the Semantic Web -- Technical Background -- Deploying Linked Open Data: Methodologies and Software Tools -- Creating Linked Data from Relational Databases -- Generating Linked Data in Real-Time from Sensor Data Streams -- Conclusions.

In: Springer eBooksSummary: 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.

Item type:

eBooks

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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.