Zampetakis Stamatis (10 results)

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  • Language: English

    Published by Springer, 2020

    3031007476 / 9783031007477

    • Softcover

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  • Language: English

    Published by Springer, 2020

    3031007476 / 9783031007477

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  • Language: English

    Published by Springer, 2020

    3031007476 / 9783031007477

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    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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    Condition: New. In English.

  • Language: English

    Published by Springer, 2020

    3031007476 / 9783031007477

    • Softcover

    Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

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  • Language: English

    Published by Springer, 2020

    3031007476 / 9783031007477

    • Softcover

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    Condition: New. 1st edition NO-PA16APR2015-KAP.

  • Language: English

    Published by Springer, 2020

    3031007476 / 9783031007477

    • Softcover

    Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

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  • Language: English

    Published by Springer, 2020

    3031007476 / 9783031007477

    • Softcover

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

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Resource Description Framework (or RDF, in short) is set to deliver many of the original semi-structured data promises: flexible structure, optional schema, and rich, flexible Universal Resource Identifiers as a basis for information sharing. Moreover, RDF is uniquely positioned to benefit from the efforts of scientific communities studying databases, knowledge representation, and Web technologies. As a consequence, the RDF data model is used in a variety of applications today for integrating knowledge and information: in open Web or government data via the Linked Open Data initiative, in scientific domains such as bioinformatics, and more recently in search engines and personal assistants of enterprises in the form of knowledge graphs.Managing such large volumes of RDF data is challenging due to the sheer size, heterogeneity, and complexity brought by RDF reasoning. To tackle the size challenge, distributed architectures are required. Cloud computing is an emerging paradigm massively adopted in many applications requiring distributed architectures for the scalability, fault tolerance, and elasticity features it provides. At the same time, interest in massively parallel processing has been renewed by the MapReduce model and many follow-up works, which aim at simplifying the deployment of massively parallel data management tasks in a cloud environment.In this book, we study the state-of-the-art RDF data management in cloud environments and parallel/distributed architectures that were not necessarily intended for the cloud, but can easily be deployed therein. After providing a comprehensive background on RDF and cloud technologies, we explore four aspects that are vital in an RDF data management system: data storage, query processing, query optimization, and reasoning. We conclude the book with a discussion on open problems and future directions.…

  • Language: English

    Published by Springer, 2020

    3031007476 / 9783031007477

    • Softcover
    • Print on Demand

    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by Springer, 2020

    3031007476 / 9783031007477

    • Softcover
    • Print on Demand

    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2020

    3031007476 / 9783031007477

    • Softcover
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    Seller: moluna, Greven, Germanymoluna

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Resource Description Framework (or RDF, in short) is set to deliver many of the original semi-structured data promises: flexible structure, optional schema, and rich, flexible Universal Resource Identifiers as a basis for information sharing. More.…