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              Books by Ioana Manolescu

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              Cloud-Based RDF Data Management
                

              Cloud-Based RDF Data Management (Hardback)

              By Kaoudi, Zoi; Manolescu, Ioana; Zampetakis, Stamatis

              • RRP: $197.50
              • $197.50
              • In Stock US

              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.
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              ISBN 9781681737805
              Released NZ 28 Feb 2020
              Publisher Morgan & Claypool Publishers
              Interest Age General Audience
              Series Synthesis Lectures on Data Management
              Availability
              Internationally sourced; ships 6-12 working days
              View details for this title
              Cloud-Based RDF Data Management
                

              Cloud-Based RDF Data Management (Trade Paperback / Paperback)

              By Kaoudi, Zoi; Manolescu, Ioana; Zampetakis, Stamatis

              • RRP: $131.50
              • $131.50
              • In Stock US

              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.
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              ISBN 9781681730332
              Released NZ 28 Feb 2020
              Publisher Morgan & Claypool Publishers
              Interest Age General Audience
              Series Synthesis Lectures on Data Management
              Availability
              Internationally sourced; ships 6-12 working days
              View details for this title
              Web Data Management

              Web Data Management (Hardback)

              By Abiteboul, Serge; Manolescu, Ioana; Rigaux, Philippe; Rousset, Marie-Christine; Senellart, Pierre

              • RRP: $175.99
              • $175.99
              • To Order

              This book explains the foundations of XML, the Web standard for data management, with a focus on data distribution.

              ISBN 9781107012431
              Released NZ 28 Nov 2011
              Publisher Cambridge University Press
              Interest Age 19+ years
              Availability
              Indent title (internationally sourced), usually ships 4-6 weeks
              View details for this title
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