Parallelize pellet reaonser

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Parallelize pellet reaonser

Gopi
Hi,

I am trying to run pellet reasoner on large data file. Because of it, it throws OutofMemory error.
Can we increase the max memory size being used by pellet reasoner.
Is there an option to parallelize the reasoner job to different workers?


Regards,
Gopi
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Re: Parallelize pellet reaonser

Jiba
Administrator
Hi,

You may increase the Java allocated memory as follows:

import owlready2.reasoning
owlready2.reasoning.JAVA_MEMORY = 8000 # Default is 2000 Mo

As far as I know, parallelizing the reasoner work is still a matter of research.

Jiba
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Re: Parallelize pellet reaonser

Gopi
Thanks, Jiba. My issue got resolved.

Regards,
Gopi