RDF Database Systems

"If you have this book in your hands, we guess you are interested in database management systems in general and more precisely those handling Resource Description Framework (RDF) as a data representation model. We believe it is the right time to study such systems because they are getting more and more attention in industry with communities of Web developers and information technology (IT) experts who are designing innovative applications, in universities and engineering schools with introductory and advanced courses, and in both academia and industry research to design and implement novel approaches to manage large RDF data sets. We can identify several reasons that are motivating this enthusiasm"--

Autorentext
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. 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.

Inhalt

1. Introduction: RDF and Linked Open Data
2. RDF Ecosystem
3. Database technologies
4. Native RDF storage approaches
5. Non-native RDF storage approaches
6. Conclusion