Conference item icon

Conference item

Querying distributed RDF graphs : the effects of partitioning

Abstract:

Web-scale RDF datasets are increasingly processed using distributed RDF data stores built on top of a cluster of shared-nothing servers. Such systems critically rely on their data partitioning scheme and query answering scheme, the goal of which is to facilitate correct and efficient query processing. Existing data partitioning schemes are commonly based on hashing or graph partitioning techniques. The latter techniques split a dataset in a way that minimises the number of connections between...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More from this funder
Name:
Engineering and Physical Sciences Research Council
Grant:
MaSI3
Language:
English
UUID:
uuid:680ff2a5-246b-4654-a1f5-0a1afd7766d1
Local pid:
ora:11391
Deposit date:
2015-05-08

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP