Re: [DL-Learner discussion] Questions on DL-Learner

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

Hi Céline,

of course we can give you more information about DL-Learner if you're 
interested in.

1.) I'm not exactly sure what you mean by target language, but if if you 
refer to what's the expressivity of the learned class expressions, then 
no, the target language of DL-Learner is not ALC.
Depending on the used learning algorithm, DL-Learner of course supports 
datatype properties and for example can also learn class expressions 
which consist of constructs used in Description Logics beyond ALC, like 
for example qualified cardinality restrictions(Q).

2.) see 1.)

3.) We do not have any numbers, but in general the internally used OWL 
reasoner(e.g. Pellet or HermiT) might be a bottleneck. If you're able to 
just load the necessary part of the ontology, this can of course 
positively influence the learning process. Maybe we're both taking about 
different things when using the term "noise", but I wouldn't declare 
unnecessary information as noise.

4.) Limits in which sense?

Can you give us any insights into what you're planning to do with the 
DL-Learner?


Kind regards,
Lorenz
On 04/08/2014 09:00 AM, alec wrote:
> 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
>
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