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Dynamic data exchange in distributed RDF stores

Abstract:

When RDF datasets become too large to be managed by centralised systems, they are often distributed in a cluster of shared-nothing servers, and queries are answered using a distributed join algorithm. Although such solutions have been extensively studied in relational and RDF databases, we argue that existing approaches exhibit two drawbacks. First, they usually decide statically (i.e., at query compile time) how to shuffle the data and thus miss opportunities for local computation. Second, t...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1109/TKDE.2018.2818696

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Oxford college:
Somerville College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
IEEE Transactions on Knowledge and Data Engineering Journal website
Volume:
30
Issue:
12
Pages:
2312 - 2325
Publication date:
2018-03-23
Acceptance date:
2018-03-20
DOI:
EISSN:
1558-2191
ISSN:
1041-4347
Pubs id:
pubs:830487
URN:
uri:397a1762-fe59-4d63-8296-9ed9616a0f73
UUID:
uuid:397a1762-fe59-4d63-8296-9ed9616a0f73
Local pid:
pubs:830487

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