- From: Gannon Dick <gannon_dick@yahoo.com>
- Date: Thu, 23 Apr 2015 10:14:01 -0700
- To: "public-lod@w3.org" <public-lod@w3.org>, SW-forum Web <semantic-web@w3.org>, Laurens Rietveld <laurens.rietveld@vu.nl>
Hi Laurens, Ignore the hecklers, I know what you mean. Look at the two "solutions" to the German Tank Problem: http://en.wikipedia.org/wiki/German_tank_problem "The analyses illustrate the difference between frequentist inference and Bayesian inference. Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious." A complete LOD Cloud has "frequentist inference" labels, the LOD Cloud the hecklers want to build adds "Bayesian inference" (aka spam or spinning or semantic) labels. So what's the right answer ? The right answer is that the Bayesian inference folks want you to speak <predicate>German</predicate> like them and frequentist inference folks just want to count Tanks correctly. The frequentist-istas are boring, with just a single answer (transformation) and they insist on spewing normative information all over the Universe. No wonder semantic hipsters mock them. Newton, Einstein, Fermi, Dirac, Feynman ... all losers ... not smart enough to make up their own labels for things. Chaos and Informative data sets FOREVER! --Gannon -------------------------------------------- On Thu, 4/23/15, Laurens Rietveld <laurens.rietveld@vu.nl> wrote: Subject: Algorithm evaluation on the complete LOD cloud? To: "public-lod@w3.org" <public-lod@w3.org>, "SW-forum Web" <semantic-web@w3.org> Date: Thursday, April 23, 2015, 6:21 AM Hi all, I'm doing some research on evaluating algorithms on the complete LOD cloud (via http://lodlaundromat.org), and am looking for existing papers and algorithms to evaluate The criteria for such an algorithm are:It should be open sourceDomain independentNo dependency on third data sources, such as query logs or a gold standardNo particular hardware dependencies (e.g. a cluster)The algorithm should take a dataset as input, and produce results as output Many thanks in advance for any suggestionsBest, Laurens -- VU University AmsterdamFaculty of Exact SciencesDepartment of Computer ScienceDe Boelelaan 1081 A1081 HV AmsterdamThe Netherlandswww.laurensrietveld.nllaurens.rietveld@vu.nl Visiting address: De Boelelaan 1081Science Building Room T312
Received on Thursday, 23 April 2015 17:14:28 UTC