Ninus;  In terms of OWL reasoners, Nick's general synopsis is
accurate.  In addition, if you need explanations for things like
inconsistencies, then Pellet is what is needed.  For more complete
information, you should consult the reasoner vendors directly.

SPIN and SPARQLMotion have been designed to use SPARQL as a flexible
tool for inferencing.  There is an overview of SPIN at
  
http://composing-the-semantic-web.blogspot.com/2009/01/object-oriented-semantic-web-with-spin.html

...and the beta 2 of Composer 3.0 has full SPIN and SPARQLMotion
support.

-- Scott

On Mar 23, 10:42 am, Nick Khamis <[email protected]> wrote:
> At a very general level:
>
> Pellet: An OWL-DL Reasoner - Uses Tableau Algorithms to Deduce a KB (Very
> Restrictive)
> SwiftOWLIM: Not an OWL-DL Reasoner - Cannot deduce things such as
> disjointness.
>
> I cannot think of any paper off the top of my head, however; there are many
> out there.
>
> Regards,
> Ninus.
>
> On Mon, Mar 23, 2009 at 8:13 AM, Aidan <[email protected]> wrote:
>
> > Hello,
>
> > I am new to knowledge representation and the use of TBC, so please
> > excuse me if I am not that familiar with this.
>
> > Starting to get familiar with the use of TBC and the inference
> > machines TBC is supporting, I still don´t seem to understand when to
> > use Pellet, SwiftOWLIM or Jena built-in Reasoner(or even
> > combinations). So I have been looking for some kind of overview to
> > this but I didn´t find what I was looking for. Is there some reference
> > you could give me that could help? Some sort of overview what the
> > different inference engines are capable of (and what not would be even
> > better) would be very welcome.
>
> > Regards,
>
> > Christopher
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