Re: [DL-Learner discussion] DL-Learner solution not including object properties

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

Hi,

unfortunately your ontologies do not contain what you say, i.e.

* father_2 is the same as father_0 and does not contain an additional
class "transgender"
* father_3 contains a class "transgender" but not the classes "human"
and "animal" and furthermore not the class assertions human(zaman),
animal(cow)

This is especially problematic since your conf file states that there is
a positive example "zaman".
Note, "male" is already a trivial solution for your configuration of the
learning problem file, thus, it's not that clear which other solution
you expect.


Cheers,
Lorenz

> Dear Concern,
>
> With due respect, I am exploring DL-Learner and running it for
> Learning Problem (Class learning).
>
>
> From the experiments I am doing, *I am not getting the solution which
> includes objectProperties*.
>
> I am doing the experiments using the default father.conf (which using
> father.owl file). 
>
> When using the default father.owl file the result includes *hasChild*
> object properties.
>
> But if I include a couple of extra classes in ontology and run with
> the same configuration file then the result does not include object
> properties.
>
>
> *Does it mean,*
>
> *If we need a solution including object properties, is it required for
> every owlClass have to be related to the object property? *
>
> *
> *
>
> The experiments result I have attached here, I have attached here the
> configuration and ontology file here for reference. 
>
>
> ##Original ontology given in example folder of DL-Learner. I renamed
> it with father_0.owl
>
> solutions:
> 1: male (pred. acc.: 100.00%, F-measure: 100.00%)
> 2: male (pred. acc.: 100.00%, F-measure: 100.00%)
> 3: not (female) (pred. acc.: 100.00%, F-measure: 100.00%)
> 4: male or (hasChild some female) (pred. acc.: 100.00%, F-measure:
> 100.00%)
> 5: (not (female)) or (hasChild some female) (pred. acc.: 100.00%,
> F-measure: 100.00%)
> 6: male or (hasChild some (not (male))) (pred. acc.: 100.00%,
> F-measure: 100.00%)
> 7: (not (female)) or (hasChild some (not (male))) (pred. acc.:
> 100.00%, F-measure: 100.00%)
> 8: male or (hasChild some (hasChild some Thing)) (pred. acc.: 100.00%,
> F-measure: 100.00%)
> 9: male or (hasChild some (hasChild some male)) (pred. acc.: 100.00%,
> F-measure: 100.00%)
> 10: male or (hasChild some (hasChild some female)) (pred. acc.:
> 100.00%, F-measure: 100.00%)
>
>
> ##father_2.owl 
> ##original ontology with transgender class and individual boby
>
> solutions:
> 1: male (pred. acc.: 100.00%, F-measure: 100.00%)
> 2: not (female) (pred. acc.: 100.00%, F-measure: 100.00%)
> 3: male or transgender (pred. acc.: 100.00%, F-measure: 100.00%)
> 4: transgender or (not (female)) (pred. acc.: 100.00%, F-measure: 100.00%)
> 5: male and (not (transgender)) (pred. acc.: 100.00%, F-measure: 100.00%)
> 6: male or (hasChild some transgender) (pred. acc.: 100.00%,
> F-measure: 100.00%)
> 7: male or (hasChild some female) (pred. acc.: 100.00%, F-measure:
> 100.00%)
> 8: (not (female)) and (not (transgender)) (pred. acc.: 100.00%,
> F-measure: 100.00%)
> 9: (not (female)) or (hasChild some female) (pred. acc.: 100.00%,
> F-measure: 100.00%)
> 10: male or (hasChild some (not (male))) (pred. acc.: 100.00%,
> F-measure: 100.00%)
>
>
> ##father_3.owl 
> ##original ontology with transgender, human and animal class 
> ## individual human(zaman) , individual animal(cow)
>
> solutions:
> 1: male (pred. acc.: 100.00%, F-measure: 100.00%)
> 2: not (female) (pred. acc.: 100.00%, F-measure: 100.00%)
> 3: male or transgender (pred. acc.: 100.00%, F-measure: 100.00%)
> 4: human or male (pred. acc.: 100.00%, F-measure: 100.00%)
> 5: animal or male (pred. acc.: 100.00%, F-measure: 100.00%)
> 6: transgender or (not (female)) (pred. acc.: 100.00%, F-measure: 100.00%)
> 7: human or (not (female)) (pred. acc.: 100.00%, F-measure: 100.00%)
> 8: animal or (not (female)) (pred. acc.: 100.00%, F-measure: 100.00%)
> 9: male and (not (transgender)) (pred. acc.: 100.00%, F-measure: 100.00%)
> 10: male and (not (human)) (pred. acc.: 100.00%, F-measure: 100.00%)
>  
>
>
>
> -------------
>
> Md Kamruzzaman Sarker
>
> PhD Student
>
> Dept. of Computer Science and Engineering, Wright State University,
> Dayton, OH
>
> http://dase.cs.wright.edu/people/kamruzzaman-sarker
>
>
>
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