Linked Data Management | Andreas Harth, Katja Hose, Ralf Schenkel | Ta

Book

Linked Data Management

ABSTRACT

Linked Data Management presents techniques for querying and managing Linked Data that is available on today's Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications.The text focuses on aspects of managing large-scale collections of Linked Data. It offers a detailed introduction to L

TABLE OF CONTENTS

part 1|2 pages

Part I: Introduction

chapter 1|46 pages

Linked Data & the Semantic Web Standards

chapter 2|20 pages

Aligning Ontologies of Linked Data

chapter 3|24 pages

Architecture of Linked Data Applications

part 2|2 pages

Part II: Centralized Query Processing

chapter 4|22 pages

Mapping Relational Databases to Linked Data

chapter 5|20 pages

Efficient Query Processing in RDF Databases

chapter 6|26 pages

Evaluating SPARQL Queries over Linked Data Streams

part 3|2 pages

Part III: Parallel Query Processing

chapter 7|28 pages

SPARQL Query Processing in the Cloud

chapter 8|46 pages

The Bigdata® RDF Graph Database

chapter 9|22 pages

Experiences with Virtuoso Cluster RDF Column Store

part 4|2 pages

Part IV: Distributed Query Processing

chapter 10|22 pages

Linked Data Query Processing Based on Link Traversal

chapter 11|26 pages

Semantic Navigation on the Web of Data

chapter 12|28 pages

Index-Based Source Selection and Optimization

chapter 13|30 pages

P2P-Based Query Processing over Linked Data

chapter 14|20 pages

Federated Query Processing over Linked Data

part 5|2 pages

Part V: Reasoning over RDF Data

chapter 15|22 pages

On the Use of Abstract Models for RDF/S Provenance

chapter 16|24 pages

Incremental Reasoning on RDF Streams

part 6|2 pages

Part VI: Linked Data Interfaces

chapter 17|20 pages

Linked Data Services

chapter 18|26 pages

Using read-write Linked Data for Application Integration