RDF Database Systems: Triples Storage and SPARQL Query Processing

✍ Scribed by Olivier Curé, Guillaume Blin

Publisher: Morgan Kaufmann
Year: 2014
Tongue: English
Leaves: 246
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

RDF Database Systems is a cutting-edge guide that distills everything you need to know to effectively use or design an RDF database. This book starts with the basics of linked open data and covers the most recent research, practice, and technologies to help you leverage semantic technology. With an approach that combines technical detail with theoretical background, this book shows how to design and develop semantic web applications, data models, indexing and query processing solutions.

Understand the Semantic Web, RDF, RDFS, SPARQL, and OWL within the context of relational database management and NoSQL systems
Learn about the prevailing RDF triples solutions for both relational and non-relational databases, including column family, document, graph, and NoSQL
Implement systems using RDF data with helpful guidelines and various storage solutions for RDF
Process SPARQL queries with detailed explanations of query optimization, query plans, caching, and more
Evaluate which approaches and systems to use when developing Semantic Web applications with a helpful description of commercial and open-source systems

✦ Table of Contents

Content:
Front matter, Page iii
Copyright, Page iv
Preface, Pages ix-xii
Chapter One - Introduction, Pages 1-8
Chapter Two - Database Management Systems, Pages 9-40
Chapter Three - RDF and the Semantic Web Stack, Pages 41-80
Chapter Four - RDF Dictionaries: String Encoding, Pages 81-104
Chapter Five - Storage and Indexing of RDF Data, Pages 105-144
Chapter Six - Query Processing, Pages 145-167
Chapter Seven - Distribution and Query Federation, Pages 169-190
Chapter Eight - Reasoning, Pages 191-222
Chapter Nine - Conclusion, Pages 223-225
References, Pages 227-233
Index, Pages 235-243

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