Dear Surajit,
Excerpts from surajit ray's message of Sat Dec 04 13:26:10 +0100 2010:
> Hi Nina,
> 
> Heres a question that Christoph asked in the comments under Model API.
> which makes a good case for having features sets and assigning them to
> datasets.
> 
> To Quote ---->
> 
> URI returned on Model POST
> Posted by Helma Christoph at Oct 01, 2009 09:07 PM
> My predictions return not only a prediction_feature, but a lot of
> additional information (similarities, neighbors, substructures with
> statistical significance, etc) that do not fit very well into our
> dataset definition (they are in fact an aggregation of datasets and
> features). Any suggestions how to deal with such a situation?

In one of my previous posts I have attached an example with such a
prediction. I works within the current API and needs only a few ontology
additions.

Best regards,
Christoph