- From: Sam Kuper <sam.kuper@uclmail.net>
- Date: Tue, 14 May 2013 15:32:22 +0100
- To: public-lod <public-lod@w3.org>
On 14/05/2013, Gannon Dick <gannon_dick@yahoo.com> wrote: > Affiliation (for the text name) and domain of the lead Author's email should > give you a little "uncertainty" with which to resolve DBpedia. Their rules > are very fussy and not as much "uncertainty" as you would like, but it is a > start. IIUC, this strategy's success rests on (at least) the assumptions that: [1] Each of the universities I'll be searching for is listed as an affiliation in at least one publication within NCBI. [2] For all such publications, the lead author's email address is provided among the metadata for the publication. [3] For all such publications, the lead author's email address incorporates the domain of the affliated institution for which I searched. I may, as I say, be being a bit slow-minded, but these each strike me as rather tenuous assumptions; and the likelihood of them all being true seems even smaller. Assumption [3], for instance, was false for the first test I ran: affiliation searched for was "London School of Economics" but although both authors of the first open access publication listed shared this affiliation, the contact email's domain was "popcouncil.org" rather than "lse.ac.uk". Assumption [2] was false for the third test I ran: affiliation searched for was "Royal Holloway", but only the publication's third author's email address was provided (which happened to be for the "cam.ac.uk" domain). I suppose I could try to narrow down the results to those with only a single author, but that still wouldn't automatically fulfil assumptions [1]-[3]. Perhaps I am still failing to understand the crucial insight that enabled you to state with confidence that, "The problem is already solved in fine detail" via the NCBI; if so, please could you share it? Many thanks, Sam
Received on Tuesday, 14 May 2013 14:32:50 UTC