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Synopsis
Covering a vital aspect of the Semantic Web, itself the subject of virtually exponential increases in research dollars, this volume focuses on high-performance data management and the processing of queries in complex, real-world web applications.
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À propos de l?auteur
Sven Groppe is a research assistant in the Institute of Information Systems at the University of Lübeck, Germany. He holds a Ph.D. from the University of Paderborn on query reformulation for the XML standards XPath, XSLT and XQuery. He was a member of the DAWG W3C Working Group that developed the W3C standard query language SPARQL. His research focus is on large-scale Semantic Web data management and its application in e-business scenarios.
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- ÉditeurSpringer-Verlag Berlin and Heidelberg GmbH & Co. K
- Date d'édition2011
- ISBN 10 3642193560
- ISBN 13 9783642193569
- ReliureRelié
- Langueanglais
- Nombre de pages270
- Coordonnées du fabricantnon disponible
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Data Management and Query Processing in Semantic Web Databases
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Springer Berlin Heidelberg, 2011
ISBN 10 : 3642193560
ISBN 13 : 9783642193569
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Data Management and Query Processing in Semantic Web Databases
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ISBN 13 : 9783642193569
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Data Management and Query Processing in Semantic Web Databases
Edité par
Springer Berlin Heidelberg, 2011
ISBN 10 : 3642193560
ISBN 13 : 9783642193569
Neuf
Couverture rigide
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The Semantic Web, which is intended to establish a machine-understandable Web, is currently changing from being an emerging trend to a technology used in complex real-world applications. A number of standards and techniques have been developed by the World Wide Web Consortium (W3C), e.g., the Resource Description Framework (RDF), which provides a general method for conceptual descriptions for Web resources, and SPARQL, an RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence, function and annotation data, the RDF data extracted from Wikipedia, and Princeton University's WordNet. Clearly, querying performance has become a key issue for Semantic Web applications.In his book, Groppe details various aspects of high-performance Semantic Web data management and query processing. His presentation fills the gap between Semantic Web and database books, which either fail to take into account the performance issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general introduction to the relevant Semantic Web standards, he presents specialized indexing and sorting algorithms, adapted approaches for logical and physical query optimization, optimization possibilities when using the parallel database technologies of today's multicore processors, and visual and embedded query languages.Groppe primarily targets researchers, students, and developers of large-scale Semantic Web applications. On the complementary book webpage readers will find additional material, such as an online demonstration of a query engine, and exercises, and their solutions, that challenge their comprehension of the topics presented. N° de réf. du vendeur 9783642193569
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Data Management and Query Processing in Semantic Web Databases
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Springer Berlin Heidelberg Mai 2011, 2011
ISBN 10 : 3642193560
ISBN 13 : 9783642193569
Neuf
Couverture rigide
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Semantic Web, which is intended to establish a machine-understandable Web, is currently changing from being an emerging trend to a technology used in complex real-world applications. A number of standards and techniques have been developed by the World Wide Web Consortium (W3C), e.g., the Resource Description Framework (RDF), which provides a general method for conceptual descriptions for Web resources, and SPARQL, an RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence, function and annotation data, the RDF data extracted from Wikipedia, and Princeton University's WordNet. Clearly, querying performance has become a key issue for Semantic Web applications.In his book, Groppe details various aspects of high-performance Semantic Web data management and query processing. His presentation fills the gap between Semantic Web and database books, which either fail to take into account the performance issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general introduction to the relevant Semantic Web standards, he presents specialized indexing and sorting algorithms, adapted approaches for logical and physical query optimization, optimization possibilities when using the parallel database technologies of today's multicore processors, and visual and embedded query languages.Groppe primarily targets researchers, students, and developers of large-scale Semantic Web applications. On the complementary book webpage readers will find additional material, such as an online demonstration of a query engine, and exercises, and their solutions, that challenge their comprehension of the topics presented. 280 pp. Englisch. N° de réf. du vendeur 9783642193569
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Data Management and Query Processing in Semantic Web Databases
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Data Management and Query Processing in Semantic Web Databases
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Data Management and Query Processing in Semantic Web Databases
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ISBN 10 : 3642193560
ISBN 13 : 9783642193569
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Couverture rigide
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Buch. Etat : Neu. Neuware -The Semantic Web, which is intended to establish a machine-understandable Web, is currently changing from being an emerging trend to a technology used in complex real-world applications. A number of standards and techniques have been developed by the World Wide Web Consortium (W3C), e.g., the Resource Description Framework (RDF), which provides a general method for conceptual descriptions for Web resources, and SPARQL, an RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence, function and annotation data, the RDF data extracted from Wikipedia, and Princeton University¿s WordNet. Clearly, querying performance has become a key issue for Semantic Web applications.In his book, Groppe details various aspects of high-performance Semantic Web data management and query processing. His presentation fills the gap between Semantic Web and database books, which either fail to take into account the performance issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general introduction to the relevant Semantic Web standards, he presents specialized indexing and sorting algorithms, adapted approaches for logical and physical query optimization, optimization possibilities when using the parallel database technologies of today¿s multicore processors, and visual and embedded query languages.Groppe primarily targets researchers, students, and developers of large-scale Semantic Web applications. On the complementary book webpage readers will find additional material, such as an online demonstration of a query engine, and exercises, and their solutions, that challenge their comprehension of the topics presented.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch. N° de réf. du vendeur 9783642193569
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