Re: [DL-Learner discussion] tips on large knowledge bases

[Lorenz B. <spo...@st...>]

Hello Diogo,

thanks a lot.

Can you share the conf file with us and maybe give us access to the 
endpoint or share the dump? Recursion depth 4 usually leads to a large 
amount of imported data for each given pos/neg example so there might be 
indeed some memory issue. Do you get just an OOM exception or something 
else? can you share the error stack trace?

1) Actually, it's not possible to configure a black or white list of 
allowed properties, but we could add this of course.

2) I'm not sure what you exactly mean by that. Do you mean the 
initialization step of the reasoner before the learning algorithm is 
started?

Kind regards,
Lorenz

> Hello
>
> First, congratulations on the release of this exciting project!
>
> I have a knowledge base about cancer patients with 6.240.880 triples, 
> loaded on a open source virtuoso server. Before loading, we 
> materialized inferences using pellet - it took almost 3 days in a 30GB 
> RAM server.
>
> I have a configuration dl-learner file (based on the Actors example) 
> which queries the SPARQL endpoint. But as I set the recursion level to 
> 4, dl-learner end up taking too much memory and throws and exception.
>
> I have two questions:
>
> 1) Is it possible to configure what would be queried by dl-learner? 
> There are data and object properties which could be removed from the 
> analysis. Is there a way to filter it?
>
> 2) Can I turn off the built-in inference provided by dl-learner? 
> (considering that everything is materialized in my KB).
>
> Thanks!
>
> -- 
> diogo patrão
>
>
>
>
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