- From: Kingsley Idehen <kidehen@openlinksw.com>
- Date: Thu, 20 Aug 2009 15:32:46 -0700
- To: Ryan Shaw <ryanshaw@ischool.berkeley.edu>
- CC: "public-lod@w3.org community" <public-lod@w3.org>
Ryan Shaw wrote: > On Thu, Aug 20, 2009 at 12:57 PM, Kavitha Srinivas<ksrinivs@gmail.com> wrote: > > >> I put the raw dump of conditional probabilities on an external >> website (http://domino.research.ibm.com/comm/research_projects.nsf/ >> pages/iaa.index.html). Go the section on LinkedOpenData and >> Extraction of Vocabularies on this page and click on the link to the >> datafile. >> > > It strikes me that this is the kind of thing it would be useful for > publish as Linked Data. In other words, rather than analyzing > instances, calculating a bunch of conditional probabilities, and then > publishing a bunch of [ sameAs | equivalentClass | seeAlso | whatever > ] assertions, one could publish a bunch of conditional probabilities > or other similarity values, with some indication of the type of > similarity measure used and links to the specific instance sets used > to calculate the values. Others could then use these measures as they > wished, setting their own thresholds for when to consider something an > equivalence relation or not. > > Are there any vocabularies that might be used to publish such as data > set as Linked Data? > > > Take a look at UMBEL, see: http://umbel.org . -- Regards, Kingsley Idehen Weblog: http://www.openlinksw.com/blog/~kidehen President & CEO OpenLink Software Web: http://www.openlinksw.com
Received on Thursday, 20 August 2009 22:33:24 UTC