We define an ontology as a data model - classes, their properties and 
associated rules. There is no support for getting such models from 
non-structured text. There is support for getting this from a structured text 
such as spreadsheet (the columns will be turned into properties).

TopBraid EDG (launchable from TBC) offers support for creating taxonomies from 
unstructured text. It will extract terms from a document, sort them by 
frequency and let you pick which ones you want to have as skos:Concepts. 
Organizing of terms into hierarchies would be done through post processing. You 
can write business logic specific to your text to automated some of it. For 
example, if you have terms that contain other terms (e.g., Dog and Small Dog), 
you can run a query using text functions to identify these situations and make 
one term a child concept of another.

> On Feb 1, 2021, at 10:34 AM, Martina Husáková <[email protected]> 
> wrote:
> 
> Good afternoon,
> 
> my question was whether the ontology learning can be realized in the TBC-ME. 
> It means whether we can use non-structured texts for automatical or 
> semi-automatical development of the ontological structures.
> In other words, if we can apply some specific algorithms of NLP, text mining, 
> etc. in automatical/semi-automatical building of the ontological structures, 
> because their manual development is often very time consuming.
> 
> Best regards,
> Martina Husáková
> 
> On Sat, 30 Jan 2021 at 00:06, Irene Polikoff <[email protected] 
> <mailto:[email protected]>> wrote:
> Not sure what you mean by this. You can create ontologies in TBC, if this is 
> your question.
> 
>> On Jan 29, 2021, at 1:39 PM, Martina Husáková <[email protected] 
>> <mailto:[email protected]>> wrote:
>> 
>> 
>> Good afternoon,
>> 
>> I would like to ask whether it is possible to practise ontology learning in 
>> TBC-ME?
>> 
>> Thank you a lot for your answer(s).
>> 
>> Best regards,
>> Martina
>> 
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