RDF Database Systems: Triples Storage and SPARQL Query Processing - Softcover

Reseña del editor

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

Biografía del autor

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.