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Linked Data Storing, Querying, and Reasoning /

This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking. To this end, Chapter 1 introduces the main concepts of the Semantic Web...

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Main Authors: Sakr, Sherif. (Author, http://id.loc.gov/vocabulary/relators/aut), Wylot, Marcin. (http://id.loc.gov/vocabulary/relators/aut), Mutharaju, Raghava. (http://id.loc.gov/vocabulary/relators/aut), Le Phuoc, Danh. (http://id.loc.gov/vocabulary/relators/aut), Fundulaki, Irini. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Subjects:
Computers.
Artificial intelligence.
Information storage and retrieval.
Models and Principles.
Artificial Intelligence.
Information Storage and Retrieval.
Online Access:https://doi.org/10.1007/978-3-319-73515-3
Table of Contents:
  • 1 Introduction
  • 2 Fundamentals
  • 3 Centralized RDF Query Processing
  • 4 Distributed RDF Query Processing.- 5 Processing of RDF Stream Data
  • 6 Distributed Reasoning of RDF Data
  • 7 Benchmarking RDF Query Engines and Instance Matching Systems
  • 8 Provenance Management for Linked Data
  • 9 Conclusions and Outlook.

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