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Materializing the Web of Linked Data

  • Book
  • © 2015

Overview

Authors:
  1. Nikolaos Konstantinou

    1. National Technical University of Athens, Athens, Greece

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    You can also search for this author in PubMed   Google Scholar

  2. Dimitrios-Emmanuel Spanos

    1. National Technical University of Athens, Athens, Greece

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    You can also search for this author in PubMed   Google Scholar

  • Closely examines the Semantic Web, its key concepts and technical challenges
  • Explores the methodology and technologies that led to the development of the Linked Data paradigm using examples and case studies
  • Analyzes the current implementation options for managing linked web data on a server level
  • Includes supplementary material: sn.pub/extras

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction: Linked Data and the Semantic Web

    • Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 1-16

  3. Technical Background

    • Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 17-49

  4. Deploying Linked Open Data: Methodologies and Software Tools

    • Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 51-71

  5. Creating Linked Data from Relational Databases

    • Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 73-102

  6. Generating Linked Data in Real-time from Sensor Data Streams

    • Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 103-126

  7. Conclusions: Summary and Outlook

    • Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 127-133
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Keywords

About this book

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.

Authors and Affiliations

  • National Technical University of Athens, Athens, Greece

    Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos

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