MPC: Minimum Property-Cut RDF Graph Partitioning-Reference-Cited by-同舟云学术

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MPC: Minimum Property-Cut RDF Graph Partitioning

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 38th International Conference on Data Engineering (ICDE)
language:
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Author:

Peng Peng¹,Ozsu M. Tamer²,Zou Lei³,Yan Cen¹,Liu Chengjun¹

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University,China

2. University of Waterloo,Canada

3. Peking University,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9835153/9835154/09835293.pdf?arnumber=9835293

Reference40 articles.

1. EAGRE: Towards Scalable I/O Efficient SPARQL Query Evaluation on the Cloud;zhang;Proc ICDE,0

2. Redesign of the gStore system

3. LinkedGeoData: A core for a web of spatial open data

4. Par-titioning Trillion-Edge Graphs in Minutes;slota;IPDPS,2017

5. S2RDF

Cited by 2 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. Minimum motif-cut: a workload-aware RDF graph partitioning strategy;The VLDB Journal;2024-07-08

2. Locality Sensitive Hashing for Data Placement to Optimize Parallel Subgraph Query Evaluation;Lecture Notes in Computer Science;2024

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