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Parallel OWL 2 RL materialisation in centralised, main-memory RDF systems

Abstract:

We present a novel approach to parallel materialisation (i.e., fixpoint computation) of OWL RL Knowledge Bases in centralised, main-memory, multi-core RDF systems. Our approach comprises a datalog reasoning algorithm that evenly distributes the workload to cores, and an RDF indexing data structure that supports efficient, ‘mostly’ lock-free parallel updates. Our empirical evaluation shows that our approach parallelises computation very well so, with 16 physical cores, materialisation can b...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Author's Original

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Institution:
University of Oxford
Research group:
Information Systems Group
Oxford college:
Somerville College
Department:
MPLS, Department of Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Information Systems Group
Department:
MPLS, Department of Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Information Systems Group
Department:
MPLS, Department of Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Information Systems Group
Oxford college:
Oriel College
Department:
MPLS, Department of Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Information Systems Group
Oxford college:
St Cross College
Department:
MPLS, Department of Computer Science
Role:
Author
Publisher:
CEUR Workshop Proceedings Publisher's website
Journal:
Informal Proceedings of the 27th International Workshop on Description Logics Journal website
Volume:
1193
Pages:
311–323
Publication date:
2014-07-05
ISSN:
1613-0073
URN:
uuid:1dc87c23-6baf-4c09-b04a-e0410598f545
Local pid:
ora:9549

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