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Use case 6: Scalar Classification

From: Phil Archer <parcher@icra.org>
Date: Thu, 03 May 2007 12:39:53 +0100
Message-ID: <4639CA09.5050006@icra.org>
To: Public POWDER <public-powderwg@w3.org>

As this is going to the public list I'll add a little extra explanation.

We're working on the use cases and requirements document which we expect 
to be in the public domain soon - actually, most of it already is since 
it's really just an update of the ones in the WCL-XG report [1].

Use case 1 is being re-written, this e-mail offers a re-write of no.6 
and the remainder are being reviewed.

Use case 6: Scalar Classification

A company named Advance Medical Inc. reviews medical literature on the 
Web based on a range of quality criteria such as the qualifications of 
the author(s), the methodology used and the research evidence presented. 
The criteria may be changed according to current scientific and 
professional developments. The review process leads to medical 
literature being classified in two ways:

Quality of Content
==================
Level A : Excellent
Level B : Good
Level C : Acceptable

Peer Review
===========
Level A : Content has been subjected to peer review
Level B : Content has not been subject to peer review

The Quality of Content classification is scalar. i.e. meeting the 
criteria for Level A implies also meeting Level B which in turn implies 
meeting Level C. In contrast, meeting Level A for Peer Review does not 
imply meeting Level B.

The company produces data that declares the classification levels and 
provides a summary of each document it has reviewed. The data is stored 
in a metadata repository which can be accessed via the Web.

M.D. Smith uses the data in the repository to make decisions about heath 
care for specific clinical circumstances.

[1] http://www.w3.org/2005/Incubator/wcl/XGR-wcl/Overview.html

-- 
Phil Archer
Chief Technical Officer,
Family Online Safety Institute
w. http://www.fosi.org/people/philarcher/

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Received on Thursday, 3 May 2007 11:40:02 GMT

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