[topicmapmail] automated generation of topic map

[Dan Wu]

Hello Jean,
Thank you for your information.
I understand from domain expert, you could have a predefined set of
topics.

I further would like to know whehter you have a predefined set of
association types or you can mine them from web site.


Thanks,
Dan

> Dear Dan,
> We have experienced for a client a solution with automatic feeding of the
> topic map.
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> The taxonomy for classification of topics have been made by the experts.
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> The day to day feeding of the topic maps (topics, associations and
> occurences) has been automated. A text mining tools is used to extract th=
e
> topics and associations from Reuters news. In this application the text
> mining tools was trained to capture company names, and various associatio=
n
> between topics like "acquisition" "selling" "partnership".
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> The automatisation using text mining will be completed soon with the use =
of
> the new's metadata (NewsML format).
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> You can see a prototype of the solution at the following adress :
> http://1.mondeca-publishing.com/i/editortemis/title49.html
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> sincerely
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> Jean Delahousse
> Mondeca
> CEO
> 3, Cit=E9 Nollez. 75018 Paris
> Phone : 33 1 44 92 35 03
> Mobile : 33 6 16 90 73 95
> Fax : +33 1 44 92 02 59
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> www.mondeca.com
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> > -----Message d'origine-----
> > De : topicmapmail-admin@infoloom.com
> > [mailto:topicmapmail-admin@infoloom.com]De la part de Dan Wu
> > Envoy=E9 : vendredi 8 f=E9vrier 2002 17:11
> > =C0 : topicmapmail@infoloom.com
> > Objet : [topicmapmail] automated generation of topic map
> >
> >
> > Hello,
> > I was thinking that constructing a topic map for
> > a domain is a very time consuming and labour intensive
> > job cauae one, who I assume should be the domain expert,
> >  has to find out
> > all the topics, occurrences and
> > associations. Is there a way =09already devloped or being discussed
> > that we can automate this process.
> >
> > Thanks,
> > Dan
> >
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> > topicmapmail@infoloom.com
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> >
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