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Distributed RDF Query Processing

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Abstract

With increasing sizes of RDF datasets, executing complex queries on a single node has turned to be impractical especially when the node’s main memory is dwarfed by the volume of the dataset. Therefore, there was a crucial need for distributed systems with a high degree of parallelism that can satisfy the performance demands of complex SPARQL queries. In this chapter, we give an overview of various techniques and systems for efficiently querying large RDF datasets in distributed environments.

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Authors and Affiliations

  1. College of Public Health & Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia

    Sherif Sakr

  2. Fakultät IV - Open Distributed Systems, Technische Universität Berlin, Berlin, Germany

    Marcin Wylot & Danh Le Phuoc

  3. Knowledge Discovery Lab, GE Global Research, Niskayuna, New York, USA

    Raghava Mutharaju

  4. Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science (ICS), Heraklion, Greece

    Irini Fundulaki

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  1. Sherif Sakr
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  4. Danh Le Phuoc
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Sakr, S., Wylot, M., Mutharaju, R., Le Phuoc, D., Fundulaki, I. (2018). Distributed RDF Query Processing. In: Linked Data. Springer, Cham. https://doi.org/10.1007/978-3-319-73515-3_4

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