WISE: Workload-Aware Partitioning for RDF Systems

Author:

Guo XintongORCID,Gao Hong,Zou Zhaonian

Funder

Joint Funds of the National Natural Science Foundation of China

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference38 articles.

1. DBpedia – a large-scale, multilingual knowledge base extracted from Wikipedia;Lehmann;Semant. Web,2015

2. Accelerating SPARQL Queries by Exploiting Hash-Based Locality and Adaptive Partitioning, vol. 25;Harbi,2016

3. Scalable SPARQL querying using path partitioning;Wu,2015

4. EAGRE: towards scalable I/O efficient SPARQL query evaluation on the cloud;Zhang,2013

5. Scalable SPARQL querying of large RDF graphs;Huang;Proc. VLDB Endow.,2011

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4. Space/time-efficient RDF stores based on circular suffix sorting;The Journal of Supercomputing;2022-10-25

5. The Challenges and Case for Urdu DBpedia;Lecture Notes in Networks and Systems;2022

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