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RE: [BIONT-DSE] Inclusion versus exclusion criteria

From: Kashyap, Vipul <VKASHYAP1@PARTNERS.ORG>
Date: Wed, 12 Sep 2007 09:14:22 -0400
Message-ID: <DBA3C02EAD0DC14BBB667C345EE2D12484125D@PHSXMB20.partners.org>
To: "Kavitha Srinivas" <ksrinivs@gmail.com>
Cc: <wangxiao@musc.edu>, "Alan Ruttenberg" <alanruttenberg@gmail.com>, "Andersson, Bo H" <Bo.H.Andersson@astrazeneca.com>, "Landen Bain" <lbain@topsailtech.com>, "Rachel Richesson" <Rachel.Richesson@epi.usf.edu>, "public-semweb-lifesci hcls" <public-semweb-lifesci@w3.org>, <public-hcls-dse@w3.org>, "Stanley Huff" <Stan.Huff@intermountainmail.org>, "Yan Heras" <Yan.Heras@intermountainmail.org>, "Oniki, Tom (GE Healthcare, consultant)" <Tom.Oniki@ge.com>, "Joey Coyle" <joey@xcoyle.com>, "Bron W. Kisler" <bkisler@earthlink.net>, "Ida Sim" <sim@medicine.ucsf.edu>

> Agree.  The assumption is that the user will choose whether it is
> closed world or open world.  The key point that we've observed in
> terms of our clinical trials matching work using ontologies is that
> you need BOTH options to be available to correctly translate the
> exclusion criteria into DL queries.

[VK] The key issues we may want to explore in the context of a well defined use
case (which hopefully mirrors the real world to a significant extent) are:
1. How do we decide when to use OWA vs CWA? 
2. Is it possible to look at the data characteristics to determine that? For
instance, Chintan's lab example where negative statements are explicitly
asserted.
3. Use of appropriate technology for the same. For instance, we may want to
articulate the pros and cons of using a SQL querying based approach as opposed
to an OWL classification based approach.

---Vipul


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Received on Wednesday, 12 September 2007 13:15:15 GMT

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