- 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