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Materializing Web Linked Data by Konstantinou Nikolaos (22 results)

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  • Language: English

    Published by Springer, 2015

    3319160737 / 9783319160733

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  • Language: English

    Published by Springer, 2015

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  • Language: English

    Published by Springer, 2016

    331935745X / 9783319357454

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  • Language: English

    Published by Springer, 2015

    3319160737 / 9783319160733

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  • Language: English

    Published by Springer, 2015

    3319160737 / 9783319160733

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  • Language: English

    Published by Springer, 2016

    331935745X / 9783319357454

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    Condition: New. pp. 148 Softcover reprint of the original 1st ed. 2015 edition NO-PA16APR2015-KAP.

  • Language: English

    Published by Springer, 2015

    3319160737 / 9783319160733

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  • Language: English

    Published by Springer, 2015

    3319160737 / 9783319160733

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    Condition: New. pp. 133.

  • Language: English

    Published by Springer-Verlag New York Inc, 2016

    331935745X / 9783319357454

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    Paperback. Condition: Brand New. reprint edition. 148 pages. 9.25x6.10x0.34 inches. In Stock.

  • Language: English

    Published by Springer-Verlag New York Inc, 2015

    3319160737 / 9783319160733

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    Hardcover. Condition: Brand New. 2015 edition. 148 pages. 9.50x6.25x0.75 inches. In Stock.

  • Language: English

    Published by Springer, 2015

    3319160737 / 9783319160733

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    Buch. 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.…

  • Language: English

    Published by Springer, Berlin, Springer, 2016

    331935745X / 9783319357454

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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. 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.…

  • Language: English

    Published by Springer, 2016

    331935745X / 9783319357454

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    Taschenbuch. Condition: Neu. Materializing the Web of Linked Data | Nikolaos Konstantinou (u. a.) | Taschenbuch | xiv | Englisch | 2016 | Springer | EAN 9783319357454 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

  • Language: English

    Published by Springer, 2015

    3319160737 / 9783319160733

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  • Language: English

    Published by Springer, 2016

    331935745X / 9783319357454

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  • Language: English

    Published by Springer 2016-10, 2016

    331935745X / 9783319357454

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    PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

  • Language: English

    Published by Berlin Springer International Publishing Springer Okt 2016, 2016

    331935745X / 9783319357454

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    Taschenbuch. 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.…

  • Language: English

    Published by Springer, 2016

    331935745X / 9783319357454

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    Condition: New. Print on Demand pp. 148.

  • Language: English

    Published by Springer, 2015

    3319160737 / 9783319160733

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  • Language: English

    Published by Springer, 2016

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  • Language: English

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    Condition: New. PRINT ON DEMAND pp. 133.

  • Language: English

    Published by Springer, Springer Apr 2015, 2015

    3319160737 / 9783319160733

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    Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 148 pp. Englisch.…