Journal article
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
Actions
Authors
Funding
+ Engineering and Physical Sciences Research Council
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Funding agency for:
Piro, R
Grant:
EP/L012138/1
+ Engineering and Physical Sciences research Council
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Funding agency for:
Motik, B
Grant:
EP/K00607X/1
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
Nenov, Y
Grant:
EP/J020214/1
Bibliographic Details
- 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:
- 2014-07-01
- ISSN:
-
1613-0073
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:1dc87c23-6baf-4c09-b04a-e0410598f545
- Local pid:
- ora:9549
- Deposit date:
- 2014-12-08
Related Items
Terms of use
- Copyright holder:
- Motik et al
- Copyright date:
- 2014
- Notes:
- © 2014 Motik et al.
- Licence:
- CC Attribution (CC BY)
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