hi, it says in the docs that OWL 2 RL is suitable for datasets of 'several hundreds of thousands of statements'.

This surprised me a bit. The profiles are a bit confusing to me, but after some research I thought I should go with OWL 2 RL and was happy to see GraphDB support it. I do expect I might have to work with datasets of a couple of million statements though.. so now I'm thinking I might go for a profile that supports more statements.

How many statements (roughly) should OWL-horst(-reduced) and OWL-max(-reduced) be able to handle in GraphDB Lite? And which one is more expressive and/or which one more scalable?

asked 23 Jan '15, 09:22

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Flion
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edited 23 Jan '15, 09:30


Hi,

GraphDB Lite can handle up to two billion statements (explicit + implicit) with OWL-Horst-Optimized or OWL-Max-Optimized rulesets. It depends on the complexity you have, but as inferencing is multi-threaded, the more CPUs and Memory you have the faster it will be.

link

answered 26 Jan '15, 10:03

Venelin%20Kotsev's gravatar image

Venelin Kotsev
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accept rate: 20%

wow that's a really big difference with OWL 2 RL. I will certainly use one of those then, and will have a better look into the differences between them both. tnx!

(30 Jan '15, 06:48) Flion
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Asked: 23 Jan '15, 09:22

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