Advertisement

Materializing the Web of Linked Data

  • Nikolaos Konstantinou
  • Dimitrios-Emmanuel Spanos

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 1-16
  3. Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 17-49
  4. Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 51-71
  5. Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 73-102
  6. Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 103-126
  7. Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos
    Pages 127-133

About this book

Introduction

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.

Keywords

OWL RDF SPARQL data management information processing linked data ontology relational database semantic web stream data web of data

Authors and affiliations

  • Nikolaos Konstantinou
    • 1
  • Dimitrios-Emmanuel Spanos
    • 2
  1. 1.National Technical University of AthensAthensGreece
  2. 2.National Technical University of AthensAthensGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-16074-0
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-16073-3
  • Online ISBN 978-3-319-16074-0
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Engineering