- From: Gannon Dick <gannon_dick@yahoo.com>
- Date: Fri, 3 Oct 2014 13:34:14 -0700
- To: Phillip Lord <phillip.lord@newcastle.ac.uk>, Simon Spero <sesuncedu@gmail.com>
- Cc: Eric Prud'hommeaux <eric@w3.org>, Linked Data community <public-lod@w3.org>, semantic-web@w3.org
-------------------------------------------- On Fri, 10/3/14, Simon Spero <sesuncedu@gmail.com> wrote: >We never thought of making up imaginary people to cite stuff though. Never mind that, imagine the automation possibilities!!!! Huge numbers of imaginary people talking to themselves ... (thanks for the laugh) >There is a lot of effort going in to making data citable in ways meaningful to funding agencies. A few years ago, I wrote a page which enables Agencies of the US Government to "discover" like-interested peers within so they could compare stratigies and plans. Simply talking to each other would be a possible solution, but given that the Agencies compete for funds with the same "funding agency" - Congress - there is a reluctance to be too open with each other. The output is Library of Congress MODS XML. It is dated, but here it is: http://www.rustprivacy.org/faca/samples/displayStratMLcorrespondants.html --Gannon
Received on Friday, 3 October 2014 20:34:42 UTC