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Data Management and Query Processing in Semantic Web Databases

  • Book
  • © 2011

Overview

Authors:
  1. Sven Groppe

    1. , Institut für Informationssysteme, Universität zu Lübeck, Lübeck, Germany

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  • First book on performance issues for Semantic Web data management

  • Author was a member of the W3C working group that defined the standard query language SPARQL

  • Additional teaching and demonstration material available on author’s book website

  • Includes supplementary material: sn.pub/extras

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Introduction

    • Sven Groppe
    Pages 1-5

  3. Semantic Web

    • Sven Groppe
    Pages 7-34

  4. External Sorting and B+-Trees

    • Sven Groppe
    Pages 35-65

  5. Query Processing Overview

    • Sven Groppe
    Pages 67-78

  6. Logical Optimization

    • Sven Groppe
    Pages 79-102

  7. Physical Optimization

    • Sven Groppe
    Pages 103-153

  8. Streams

    • Sven Groppe
    Pages 155-162

  9. Parallel Databases

    • Sven Groppe
    Pages 163-175

  10. Inference

    • Sven Groppe
    Pages 177-189

  11. Visual Query Languages

    • Sven Groppe
    Pages 191-201

  12. Embedded Languages

    • Sven Groppe
    Pages 203-217

  13. Comparison of the XML and Semantic Web Worlds

    • Sven Groppe
    Pages 219-250

  14. Summary, Conclusions, and Future Work

    • Sven Groppe
    Pages 251-253

  15. Back Matter

    Pages 255-270
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Keywords

About this book

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.

Authors and Affiliations

  • , Institut für Informationssysteme, Universität zu Lübeck, Lübeck, Germany

    Sven Groppe

About the author

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.

Bibliographic Information

  • Book Title: Data Management and Query Processing in Semantic Web Databases

  • Authors: Sven Groppe

  • DOI: https://doi.org/10.1007/978-3-642-19357-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2011

  • Hardcover ISBN: 978-3-642-19356-9Published: 06 May 2011

  • Softcover ISBN: 978-3-642-43549-2Published: 08 November 2014

  • eBook ISBN: 978-3-642-19357-6Published: 29 April 2011

  • Edition Number: 1

  • Number of Pages: IX, 270

  • Topics: Database Management, Information Storage and Retrieval, Artificial Intelligence

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