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Survey of RDF Stores & SPARQL Engines for Querying Knowledge Graphs
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  • waqas ali ,
  • Bin Yao ,
  • Muhammad Saleem ,
  • Aidan Hogan ,
  • A.-C. Ngonga Ngomo
waqas ali
Shanghai Jiaotong University

Corresponding Author:[email protected]

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Muhammad Saleem
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Aidan Hogan
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A.-C. Ngonga Ngomo
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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.
May 2022Published in The VLDB Journal volume 31 issue 3 on pages 1-26. 10.1007/s00778-021-00711-3