Grace: An Efficient Parallel SPARQL Query System over Large-Scale RDF Data
Author:
Funder
National Key Research & Development Program of China
NSFC
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9437608/9437628/09437674.pdf?arnumber=9437674
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An efficient and scalable SPARQL query processing framework for big data using MapReduce and hybrid optimum load balancing;Data & Knowledge Engineering;2023-11
2. A Parallel Processing Architecture to Optimize Runtime in Aggregated SPARQL Queries;Proceedings of the 14th International Conference on Management of Digital EcoSystems;2022-10-19
3. Distributed subgraph query for RDF graph data based on MapReduce;Computers and Electrical Engineering;2022-09
4. A Fixed probability Cuckoo Search algorithm to optimize SPARQL queries;2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS);2022-02-23
5. An Efficient Distributed SPARQL Query Processing Scheme Considering Communication Costs in Spark Environments;Applied Sciences;2021-12-23
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