Central Library

Normal view MARC view ISBD view

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

By: Konstantinou, Nikolaos [author.].
Contributor(s): Spanos, Dimitrios-Emmanuel [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XIV, 133 p. 28 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319160740.Subject(s): Computer science | Data mining | Information storage and retrieval | Computer Science | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Information Systems Applications (incl. Internet)Additional physical formats: Printed edition:: No titleDDC classification: 006.312 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.
    average rating: 0.0 (0 votes)
No physical items for this record

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.

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.

There are no comments for this item.

Log in to your account to post a comment.