- From: Kavitha Srinivas <ksrinivs@gmail.com>
- Date: Thu, 20 Aug 2009 15:57:55 -0400
- To: Tim Finin <finin@cs.umbc.edu>
- Cc: "public-lod@w3.org community" <public-lod@w3.org>, dbpedia-discussion@lists.sourceforge.net
Tim (and anyone else who is interested) 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. Kavitha On Aug 10, 2009, at 4:42 PM, Tim Finin wrote: > Kavitha Srinivas wrote: >> I understand what you are saying -- but some of this reflects the >> way types are associated with freebase instances. The types are >> more like 'tags' in the sense that there is no hierarchy, but each >> instance is annotated with multiple types. So an artist would in >> fact be annotated with person reliably (and probably less >> consistently with /music/artist). Similar issues with Uyhurs, >> murdered children etc. The issue is differences in modeling >> granularity as well. Perhaps a better thing to look at are types >> where the YAGO types map to Wordnet (this is usually at a coarser >> level of granularity). > > One way to approach this problem is to use a framework to mix logical > constraints with probabilistic ones. My colleague Yun Peng has been > exploring integrating data backed by OWL ontologies with Bayesian > information, > with applications for ontology mapping. See [1] for recent papers > on this > as well as a recent PhD thesis [2] that I think also may be relevant. > > [1] http://ebiquity.umbc.edu/papers/select/search/html/ > 613a353a7b693a303b643a37383b693a313b643a303b693a323b733a303a22223b693a > 333b733a303a22223b693a343b643a303b7d/ > [2] http://ebiquity.umbc.edu/paper/html/id/427/Constraint- > Generation-and-Reasoning-in-OWL
Received on Thursday, 20 August 2009 19:58:34 UTC