[Dialogue] Generative Empty Space

frank bremner fjbremner at hotmail.com
Tue May 29 21:25:12 EDT 2007


And one thing I teach Maths students:

1)  If the question reads like gibberish, divide it into paragraphs and 
maybe sentences.

2)  Then underline key words.

3)  Then it may - I emphasise, may - be more intelligible.

Cheers

Frank Bremner
(From the antipodes (?), the Land Down Under where women glow (?) and men 
chunder(?).)
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>From: "Ray & Elaine Richmond" <richmonder at iinet.net.au>
>Reply-To: Colleague Dialogue <dialogue at wedgeblade.net>
>To: "'Colleague Dialogue'" <dialogue at wedgeblade.net>,"'ICA ToP Trainers'" 
><ica-toptrainers at igc.topica.com>
>Subject: Re: [Dialogue] Generative Empty Space
>Date: Wed, 30 May 2007 10:03:41 +1000
>
>Wow!! and some people complain about 'our' jargon!!
>Elaine Richmond
>
>-----Original Message-----
>From: dialogue-bounces at wedgeblade.net
>[mailto:dialogue-bounces at wedgeblade.net] On Behalf Of David Dunn
>Sent: Wednesday, 30 May 2007 8:16 AM
>To: 'Dialogue' Listserv; ICA ToP Trainers
>Subject: [Dialogue] Generative Empty Space
>
>I thought that many of you would get a kick out of this abstract for a 
>paper
>called:
>
> > "Generative semantic clustering in spatial hypertext"
> >
> > ABSTRACT
> >
> > This paper presents an iterative method for generative semantic
> > clustering of related information elements in spatial hypertext
> > documents. The goal is to automatically organize them in ways that are
> > meaningful to the user. We consider a process in which elements are
> > gradually added to a spatial hypertext. The method for generating
> > meaningful layout is based on a quantitative model that measures and
> > represents the mutual relatedness between each new element and those
> > already in the document. The measurement is based on attributes such
> > as metadata, term vectors, user interest expressions, and document
> > locations. We call this model relatedness potential, because it
> > represents how much the new element is related and thus attracted to
> > existing elements as a vector field across the space. Using this field
> > as a gradient potential, the new element will be placed near the most
> > attracted elements, forming clusters of related elements. The relative
> > magnitude of contribution of attributes to relatedness potential can
> > be controlled through an interactive interface. Unlike prior
> > clustering methods such as k-means and self-organizing-maps,
> > relatedness potential works well in iterative systems, in which the
> > collection of elements is not defined a priori. Further, users can
> > invoke relatedness potential to re-cluster elements, as they engage in
> > on-the-fly provisional acts of direct manipulation reorganization and
> > latching of a few most significant elements. A preliminary study 
>indicates
>that users find this method generates spatial hypertext documents that are
>easier to read.
>
>I read that as an astonishingly verbose definition of "gestalting" or most
>specifically, "clustering" as practiced by ToP facilititators and others.
>
>:")
>
>David Dunn
>
>PS.
>Actually quite interesting, isn't it!
>
>--
>David Dunn
>www.mirrorcommunication.com
>david at mirrorcommunication.com
>720-314-5991
>Skype: dmirror
>
>-- THANKS FOR UPDATING MY EMAIL ADDRESS --
>
>
>
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