[Sigia-l] tagging software

[Field Mark]

There was a very brutal human versus machine indexing exercise carried out
in a London-based information aggregator back in the early '00s. Emphasise
'indexing' not 'tagging'. I did a short bit of consulting, assessing the
evidence it produced. I am happy to offer some insight, but off-list.

Regards, Mark


Mark Field
Intellectual Capital Exploitation Team Dstl KIS 
Direct Dial  +44(0)1980 614360 (96801 4360)
Mobile P +44(0)7968 739756
Email  mfield at dstl.gov.uk

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-----Original Message-----
From: sigia-l-bounces at asis.org [mailto:sigia-l-bounces at asis.org] On Behalf
Of Ziya Oz
Sent: 03 March 2008 18:25
To: SIGIA-L
Subject: Re: [Sigia-l] tagging software

Frank Shepard:

> if the context is a single user and her data, why not allow a machine 
> to generate tags? What's the objection to that?

When humans tag they make a cognitive judgment on a doc in a way we don't
always fully understand. When machines do the tagging, we tell them how to.
Machines can arrive at a tag in many ways: it could be simple concordance
parsing or complex semantic relationship discovery. We can also allow
machines to go out and interface with other datasets, knowledge repositories
and compare other tagging structures, etc. Humans can theoretically do some
of  these, but they usually don't, certainly not at a scale and volume
machines can manage.

I'm not aware of a controlled experiment where machines and humans 'tagged'
the same body of docs over a meaningful time span to see
differences/similarities. I recon there'll be some.

Ziya
Nullius in Verba 



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