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Table of Contents

1 Introduction.- 2 Fundamentals.- 3 Centralized RDF Query Processing.- 4 Distributed RDF Query Processing.- 5 Processing of RDF Stream Data.- 6 Distributed Reasoning of RDF Data.- 7 Benchmarking RDF Query Engines and Instance Matching Systems.- 8 Provenance Management for Linked Data.- 9 Conclusions and Outlook.

About the Author

Sherif Sakr is a professor of computer and information science in the Health Informatics department at King Saud bin Abdulaziz University for Health Sciences, and is also affiliated with the University of New South Wales and DATA61/CSIRO in Australia. Sherif's research interests revolve around the areas of efficient and scalable Big Data Management, Processing and Analytics. In 2013, he was awarded the Stanford Innovation and Entrepreneurship Certificate.
Marcin Wylot is a postdoctoral researcher at TU Berlin, Germany, in the Open Distributed Systems group. His main research interests are in database systems for Semantic Web data, provenance in Linked Data, Internet of Things, and Big Data processing.
Raghava Mutharaju is a research scientist in the AI & Machine Learning Systems division of GE Global Research in Niskayuna, NY, USA. His research interests are in ontology modeling and reasoning, scalable SPARQL query processing, Big Data, Semantic Web and its applications.
Danh Le Phuoc
is a Marie Sklodowaka-Curie Fellow at TU Berlin. He is working on Pervasive Analytics which includes Linked Data/Semantic Web, Pervasive Computing, Future Internet and Big Data for Internet of Everything.
Irini Fundulaki is a Principal Researcher at the Institute of Computer Science of the Foundation for Research and Technology-Hellas. Her research interests are related to Web Data Management and more specifically the development of benchmarks for RDF engines, instance matching and link discovery systems, and the management of provenance for Linked Data.

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