A Survey of RDF Stores & SPARQL Engines for Querying Knowledge Graphs
| Autor: | A.-C. Ngonga Ngomo, Waqas Ali, Aidan Hogan, Yao Bin, Muhammad Saleem |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Information retrieval Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL InformationSystems_DATABASEMANAGEMENT Databases (cs.DB) computer.file_format algebra_number_theory Computer Science - Databases Knowledge graph Hardware and Architecture SPARQL RDF computer Information Systems |
| Popis: | RDF has seen increased adoption in recent years, prompting the standardization of the SPARQL query language for RDF, and the development of local and distributed engines for processing SPARQL queries. This survey paper provides a comprehensive review of techniques and systems for querying RDF knowledge graphs. While other reviews on this topic tend to focus on the distributed setting, the main focus of the work is on providing a comprehensive survey of state-of-the-art storage, indexing and query processing techniques for efficiently evaluating SPARQL queries in a local setting (on one machine). To keep the survey self-contained, we also provide a short discussion on graph partitioning techniques used in the distributed setting. We conclude by discussing contemporary research challenges for further improving SPARQL query engines. This extended version also provides a survey of over one hundred SPARQL query engines and the techniques they use, along with twelve benchmarks and their features. Comment: This version adds 15 more systems, more details on approaches for processing property paths, as well as some other minor changes |
| Databáze: | OpenAIRE |
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