RDF Database Systems

RDF Database Systems

Triples Storage and SPARQL Query Processing

1st Edition - November 24, 2014

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  • Authors: Olivier Curé, Guillaume Blin
  • Paperback ISBN: 9780127999579
  • eBook ISBN: 9780128004708

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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.

Key Features

  • 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


Semantic, database, knowledge representation developers and academics including researchers, grad students, and professors.

Table of Contents

    • Preface
    • Chapter One: Introduction
      • Abstract
      • 1.1. Big data
      • 1.2. Web of data and the semantic web
      • 1.3. RDF data management
      • 1.4. Dimensions for comparing RDF stores
    • Chapter Two: Database Management Systems
      • Abstract
      • 2.1. Technologies prevailing in the relational domain
      • 2.2. Technologies prevailing in the NoSQL ecosystem
      • 2.3. Evolutions of RDBMS and NoSQL systems
      • 2.4. Summary
    • Chapter Three: RDF and the Semantic Web Stack
      • Abstract
      • 3.1. Semantic web
      • 3.2. RDF
      • 3.3. SPARQL
      • 3.4. SPARQL 1.1 update
      • 3.5. Ontology languages
      • 3.6. Reasoning
      • 3.7. Benchmarks
      • 3.8. Building semantic web applications
      • 3.9. Summary
    • Chapter Four: RDF Dictionaries: String Encoding
      • Abstract
      • 4.1. Encoding motivation
      • 4.2. Classic encoding
      • 4.3. Smart encoding
      • 4.4. Allowing a full text search in literals
      • 4.5. Compressing large amounts of data
      • 4.6. Summary
    • Chapter Five: Storage and Indexing of RDF Data
      • Abstract
      • 5.1. Introduction
      • 5.2. Native storage approach
      • 5.3. Non-native storage approach
      • 5.4. Complementary surveys
      • 5.5. Summary
    • Chapter Six: Query Processing
      • Abstract
      • 6.1. Introduction
      • 6.2. Query parsing
      • 6.3. Query rewriting
      • 6.4. Optimization
      • 6.5. Query execution
      • 6.6. Query processing for update queries
      • 6.7. Summary
    • Chapter Seven: Distribution and Query Federation
      • Abstract
      • 7.1. Introduction
      • 7.2. Homogeneous systems
      • 7.3. Heterogeneous systems
      • 7.4. Summary
    • Chapter Eight: Reasoning
      • Abstract
      • 8.1. Introduction
      • 8.2. Reasoning and database management systems
      • 8.3. Reasoning methods
      • 8.4. Nondistributed systems and approaches
      • 8.5. Distributed reasoning
      • 8.6. Summary
    • Chapter Nine: Conclusion
      • Abstract
      • 9.1. Challenges
      • 9.2. Expected features
      • 9.3. The future of RDF stores
    • References
    • Index

Product details

  • No. of pages: 256
  • Language: English
  • Copyright: © Morgan Kaufmann 2014
  • Published: November 24, 2014
  • Imprint: Morgan Kaufmann
  • Paperback ISBN: 9780127999579
  • eBook ISBN: 9780128004708

About the Authors

Olivier Curé

Olivier Curé is an associate professor of computer science at the Université Paris-Est in France and is researching at the CNRS LIGM lab. He holds a Ph.D. in Artificial Intelligence from the Université de Paris V, France and has published three book chapters, eight journal articles and more than 50 papers in international, peer-reviewed conferences in the fields of databases, semantic web and ontologies. Professor Curé has organized workshops including Ambient Data Integration (ADI) at On the Move (OTM) conference in 2008, 2009 and 2010. He has received three cooperative research grants to work with the Database and Information System research team of Pr. Stefan Jablonski at the University of Bayreuth, Germany. In 2013, Professor Curé received a grant for a France-Stanford collaboration to conduct research with Stanford’s BioMedical Informatics Research (BMIR) laboratory.

Affiliations and Expertise

Associate Professor of Computer Science, Université Paris Est Marne la Vallée, France, currently visiting at Stanford.

Guillaume Blin

Guillaume Blin is a full professor of computer science at the Université de Bordeaux in France affiliated to the LaBRI CNRS laboratory for his research. He obtained his Ph.D. in algorithmics at Université de Nantes, France. While most of his research has focused on Biological algorithmics, he has been collaborating with Olivier Curé on RDF triples storage and querying since early 2010.

Affiliations and Expertise

Professor of Computer Science, Université de Bordeaux, France

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