SPARQL Federated Queries


Wolfgang Fahl

Federated Queries[edit]

W3C Federated Query Standard[edit]

https://www.w3.org/TR/sparql11-federated-query/

FedX[edit]

FedX is a federation layer for distributed query processing on Linked Open Data.

Muhammad Saleem's Work on Federated Queries[edit]

Scholar
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linkedInId  muhammad-saleem-76272a2b→muhammad-saleem-76272a2b
researchGate  →
gndId  →
smartCRMId  →
affiliations  →[[]]


LSQ: The Linked SPARQL Queries Dataset[edit]

LSQ (Linked SPARQL Queries Dataset) is a notable work by Saleem et al. This dataset provides a valuable resource for analyzing and understanding SPARQL query patterns and usage.

μ-Bench: Real-world Micro Benchmarking for SPARQL Query Processing over Knowledge Graphs[edit]

This work, presented at IJCKG 2022, focuses on micro-benchmarking for SPARQL query processing over knowledge graphs.

FEASIBLE: A Feature-Based SPARQL Benchmark Generation Framework[edit]

FEASIBLE is a framework for generating SPARQL benchmarks based on features of real-world queries.

grlc[edit]

grlc is a middleware by Meroño-Peñuela et al that simplifies the process of exposing Linked Data via a RESTful API by translating existing SPARQL queries stored in GitHub repositories into Swagger Web APIs on the fly. The metadata for queries is kept as 'SPARQL Decorators' in .rq files. grlc supports parameterized queries and generates plausible parameter values by introducing non-standard naming conventions and using additional SPARQL queries. grlc supports content negotiation and caches API specifications to enhance performance.

querypulator[edit]

Querypulator is a tool related to SPARQL query processing. For more information, please refer to the querypulator GitHub repository.

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