[DL-Learner discussion] Questions on DL-Learner

[alec <Cel...@lr...>]

Hello,

I am a PhD student in Laboratoire de Recherche en Informatique in 
Université Paris Sud (France). I have read papers on DL-Learner. For my 
thesis project, I might be interested in using an ILP tool to learn 
concept definitions. But the ontology I will use as input will have 
datatype properties (numerical values) and I would like to use a tool 
which can learn
definitions using these datatype properties.

I would like to have some additional information on DL-Learner if it is 
possible. I would be grateful if you could answer my questions.

1. I understood that the target language of your algorithm is ALC 
description logic. Can you confirm me that we cannot get a definition of 
a concept with datatype properties (other than string datatype 
properties)?
For example, something like an adult is a person whose age hasValue x 
with x>=18.

2. If I understood right:
Is there a particular reason for that? Has it a real complexity to 
implement? Or do you know tools (open source or free of charge for 
academic research) that can generate a definition with numerical 
datatype properties (e.g. in SHOIN(D) description logic)?

3. Are there any constraints about the input ontology? Can it be a big 
ontology with potential information which is not interesting for 
defining a concept (i.e. with noise)? Or has it to be just the 
interesting part of the ontology?

4. Can you say what the limits of DL-Learner are?

I would greatly appreciate any help you might be able to give me.

Best regards,
Céline Alec