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Linked data management Andreas Harth, Katja Hose, Ralf Schenkel

By: Contributor(s): Material type: TextTextSeries: Emerging directions in database systems and applicationsPublication details: Boca Raton : CRC Press Taylor & Francis, c2014.Description: xxvii, 547 p. : ill. ; 27 cmISBN:
  • 9781466582408
Subject(s): DDC classification:
  • 025.04
Online resources: Summary: "With the growing popularity of the Semantic Web, more and more semantic data and data sources become available and accessible for everyone. By establishing semantic links between the data, answers to (complex) queries can be evaluated based on the data on multiple providers instead of just one. This book motivates, introduces, and details techniques for processing heterogeneous structured data on the Web by providing a comprehensive overview for database researchers and practitioners about this new publishing paradigm on the web, and show how the abundance of data published as Linked Data can serve as a fertile ground for database research and experimentation"--
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Holdings
Item type Current library Call number Status Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 025.04 HA LI (Browse shelf(Opens below)) Available T0015597
REGULAR University of Wollongong in Dubai Main Collection 025.04 HA LI (Browse shelf(Opens below)) Available T0013084

"A Chapman & Hall book."

Includes bibliographical references (p. 485-536) and index.

"With the growing popularity of the Semantic Web, more and more semantic data and data sources become available and accessible for everyone. By establishing semantic links between the data, answers to (complex) queries can be evaluated based on the data on multiple providers instead of just one. This book motivates, introduces, and details techniques for processing heterogeneous structured data on the Web by providing a comprehensive overview for database researchers and practitioners about this new publishing paradigm on the web, and show how the abundance of data published as Linked Data can serve as a fertile ground for database research and experimentation"--

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