🚀 go-pugleaf

Does anyone have any experience with the work of R.S. Michalski (U. of Illinois)
on concept learning?  

The problem I'm faced with is, from another point of view, that of constructing 
natural responses to database queries.  On executing the query, we will get a
(possibly empty) collection of values from the database that constitute the
answer to the query.  Rather than report all 144 elements in the answer, for
instance, we would rather summarize the contents of the 144 elements by looking
for regularities among them.  (In actual fact, this won't be a natural
language output; we need something formal for further processing.  But I
don't think that's important at this point.)  I'm aware of some
material on natural language responses to database queries, but hadn't
come across the "learning" approach of Michalski until recently.

Any comments, or pointers to other approaches to the problem?
Thanks!!

Daniel Zlatin
Bell-Northern Research
...utzoo!bnr-vpa!bnr-di!daniel