[topicmapmail] Classification of occurrences using keywords
Mason, James David (MXM)
masonjd@y12.doe.gov
Mon, 11 Nov 2002 13:13:17 -0500
I've done something like this in work that I reported on at Extreme Markup
Languages in 2000 and 2002: we're building whole networks of keywords that
we associate with rules for doing classification. (Note that in the jargon
of my business, "classification" is specialized to mean "assign to one of
the categories defined by law for sensitive data" and "topic" means not a
topic map topic but one of the rules used to classifiy information.) I
create topics to represent the keywords (and use the keywords themselves in
the baseNameString). Then I build topics for the things I want to associate
with the keywords (once more using the base name) and assemble associations
between the latter topics and the keywords.
See: http://www.y12.doe.gov/~mxm/open/Papers/Ferret2001ML.pdf for the
published verison of a paper on building the networks that drive an
analytical tool
and
http://www.y12.doe.gov/~mxm/open/Papers/EML2002Mason01.pdf for a report on a
system to extend this and allow use of the keywords to search documents in a
publishing/content management system.
Jim Mason
> -----Original Message-----
> From: Johannes Koppenwallner [SMTP:a9405411@unet.univie.ac.at]
> Sent: Monday, November 11, 2002 11:08 AM
> To: topicmapmail@infoloom.com
> Subject: [topicmapmail] Classification of occurrences using keywords
>
> Hello,
> I have a topic map with already defined topics and associations. Now I
> want to populate this map automatically with occurrences, which should
> be classified to the topics using keywords. (I know, a quite primitive
> way to classify.) To make this work, I have defined keywords for every
> existing topic. It would be nice to define the keywords/topic relation
> in the topicmap, so nothing else than the topic map is needed to
> classify documents. So my question is: What's the best way to model the
> relation between a topic and it's keywords?
> Thanks in advance.
>
> Johannes
>
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