A Survey of RDF Stores SPARQL Engines for Querying Knowledge Graphs
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by
Waqas Ali, Muhammad Saleem, Bin Yao, Aidan Hogan, Axel-Cyrille Ngonga Ngomo
2021
Abstract
Recent years have seen the growing adoption of non-relational data models for
representing diverse, incomplete data. Among these, the RDF graph-based data
model has seen ever-broadening adoption, particularly on the Web. This adoption
has prompted the standardization of the SPARQL query language for RDF, as well
as the development of a variety of local and distributed engines for processing
queries over RDF graphs. These engines implement a diverse range of specialized
techniques for storage, indexing, and query processing. A number of benchmarks,
based on both synthetic and real-world data, have also emerged to allow for
contrasting the performance of different query engines, often at large scale.
This survey paper draws together these developments, providing a comprehensive
review of the techniques, engines and benchmarks for querying RDF knowledge
graphs.
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