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Re: [ontolog-forum] Axiomatic ontology

To: "[ontolog-forum]" <ontolog-forum@xxxxxxxxxxxxxxxx>
From: "Rob Freeman" <lists@xxxxxxxxxxxxxxxxxxx>
Date: Sat, 2 Feb 2008 13:47:41 +0800
Message-id: <7616afbc0802012147i6fd3707fu51fb74eae49a4fc0@xxxxxxxxxxxxxx>
On Feb 2, 2008 4:45 AM, John F. Sowa <sowa@xxxxxxxxxxx> wrote:
> ...the knowledge needed
> for language understanding is encoded in the surface patterns, and
> much can be done without an intermediate form that resembles logic.    (01)

Glad to find you writing this, John.    (02)

> > Or talk to a linguist about the many senses of "in" used in
> > English (approximately 30, though it is hard to be exact),
> > which require an ontology to be used in order to disambiguate them.
> What I am questioning is the need for an a priori list of all
> possible interpretations.  That is not the assumption that
> underlies GAT or the statistical methods of MT.    (03)

I agree with this too. It is only an assumption that we need an
ontology to "disambiguate" natural language.    (04)

The opposite is just as likely: that we need natural language to
encode the complexity of ontology.    (05)

As a quick list of resources for anyone interested in playing with
these ideas you could start with Dekang Lin's demos. Here's one which
displays classes found using raw word proximity:    (06)

http://www.cs.ualberta.ca/~lindek/demos/proxysim.htm    (07)

There is also a SourceForge project, SenseClusters, for an open source
implementation of some of the algorithms:    (08)

http://www.d.umn.edu/~tpederse/senseclusters.html    (09)

Ted Pedersen has a video tutorial for SenseClusters available off this page:    (010)

http://www.fask.uni-mainz.de/lk/videoarchive/    (011)

For all that, I agree there is a problem deriving ontologies using
these algorithms. The difference is that I don't think the problem is
that we don't find meaningful classes.    (012)

Rather I think what has stopped these techniques being used more is
that we find _too many_ meaningful classes, and there is no objective
way to select between them.    (013)

And the answer to that I think is in this "surface complexity" of
natural language.    (014)

-Rob    (015)

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