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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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Bibliographic Details
Main Authors: Sakr, Sherif, Wylot, Marcin (Author), Mutharaju, Raghava (Author), Le Phuoc, Danh (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2018, 2018
Edition:1st ed. 2018
Subjects:
Models Of Computation
Computer Science
Information Storage And Retrieval
Artificial Intelligence
Information Storage And Retrieval Systems
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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