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A Survey of RDF Stores & SPARQL Enginesfor Querying Knowledge Graphs.pdf (888.22 kB)
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Survey of RDF Stores & SPARQL Engines for Querying Knowledge Graphs

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posted on 09.04.2021, 03:04 by waqas aliwaqas ali, Bin Yao, Muhammad Saleem, Aidan Hogan, A.-C. Ngonga Ngomo
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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Email Address of Submitting Author

waqasali@sjtu.edu.cn

Submitting Author's Institution

Shanghai Jiaotong University

Submitting Author's Country

China

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