Re: [DL-Learner discussion] Use N-Triple RDF dataset as an input for type recovery

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

Hello Soheil,

DL-Learner can be run either from CLI by using config files or from code.

In your case, a config file has to be create which usually consists of
(at least)

* the dataset

* the reasoner which is used to use inferred knowledge

* the learning problem

* the learning algorithm


In any case, you have to define for what you want to learn an OWL class
expression resp. OWL axiom. That means, you cannot simply copy and paste
an exiting config file without redefining the dataset and the learning
problem.

I don't know where you found examples/sar, at least it's not contained
in the latest release [1]. The dataset itself has to be defined like in
the examples/father.conf file [2], i.e. if it is a file the path to the
file has to be given

ks.type = "OWL File"
ks.fileName = "/PATH/TO/YOUR/FILE/dump_cleaned.nt"

Feel free to ask further questions or even show us your config file and
what you want/expect the DL-Learner to learn on this data.




	

	


[1] https://github.com/AKSW/DL-Learner/tree/master/examples
[2] https://github.com/AKSW/DL-Learner/blob/master/examples/father.conf


Kind regards,
Lorenz

> Hello all, 
>
> I would like to know how  can I give my input as the n-triple dataset
> for type recovery. I already installed the program and run it
> perfectly. and run father.con example but I do not know how to run
> another input files for examle there is the ntriple example in in the
> example/sar but I do not know how to run dump_cleaned.nt . Does it
> need to write config file for it. I would be grateful to provide some
> helps for me, or if there is more detailed  info (more than what it is
> on the website). Thank you so much in advance for your consideration
> and hope to hear from you soon. 
>
> Best Regards
>
>
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