I'm interested in a scenario of how a research group in a new area could
use use these kinds of termilogies in finding possibly relevant terms
and then more related information.
For instance, I have collected and organized some neuroscience links
into an Annotea bookmark file such as
http://www.annotea.org/bookmarks/neuro.rdf. ( image
http://www.annotea.org/bookmarks/neurohierarchy.png)
(The CML example is probably a better case
http://www.w3.org/2003/12/cmlcase/cml.html).
Now I would like to take this bookmark file and provide it as a profile
to a terminology service that would try to find me some related terms.
This service could process the language in my bookmarked documents, in
the topic title or description, and in related topics and use the
hierarchy information.
If I understood it right something less dynamic statistical analysis is
currently already done in UMLS. How difficult would it be to make it
more dynamic?
Marja
Olivier Bodenreider wrote:
A PDF file with the slides of my UMLS presentation this morning is
available at:
http://mor.nlm.nih.gov/pubs/pres/060605-BioRDF.pdf
-- Olivier
Susie Stephens wrote:
Don't forget to participate in Monday's BioRDF call, as Olivier
Bodenreider will be giving an overview of UMLS.
Call Details
Date of Call: Monday June 5, 2006
Time of Call: 11:00am Eastern Time
Dial-In #: +1.617.761.6200 (Cambridge, MA) Participant Access Code:
246733 ("BIORDF")
IRC Channel: irc.w3.org port 6665 channel #BioRDF
Duration: ~1 hour
Agenda
1. UMLS Overview
2. AOB
Susie
