W3C home > Mailing lists > Public > public-lod@w3.org > August 2009

Re: [Dbpedia-discussion] Fwd: Your message to Dbpedia-discussion awaits moderator approval

From: Kavitha Srinivas <ksrinivs@gmail.com>
Date: Tue, 11 Aug 2009 07:37:35 -0400
Message-Id: <F9E5AB50-CC5E-4089-BA73-98CFC702DE96@gmail.com>
To: Anja Jentzsch <anja@anjeve.de>
Cc: Kingsley Idehen <kidehen@openlinksw.com>, Tim Finin <finin@cs.umbc.edu>, "public-lod@w3.org" <public-lod@w3.org>, "dbpedia-discussion@lists.sourceforge.net" <dbpedia-discussion@lists.sourceforge.net>, Chris Bizer <chris@bizer.de>
Actually I wonder if it makes sense to annotate the relation with the  
actual conditional probability as suggested by Tim. We found the  
probabilities quite useful in different applications. If we go this  
route we could also send you the set of types with very low  
probabilities -- which is very useful if you want to know for instance  
that an instance is almost never both a Car and a Person.


Sent from my iPhone

On Aug 11, 2009, at 7:23 AM, Anja Jentzsch <anja@anjeve.de> wrote:

> Hi Kingsley, hi Kavitha,
> we will generate a new dump covering all YAGO Freebase relations  
> with at least 95% probability, using skos:narrower as proposed by Tim.
> I will let you know, when the file is available for download.
> Cheers,
> Anja
> Kingsley Idehen schrieb:
>> Kavitha Srinivas wrote:
>>> I will fix the URIs.. I believe the equivalenceClass assertions  
>>> were added in by someone at OpenLink (I just sent the raw file  
>>> with the conditional probabilities for each pair of types that  
>>> were above the .80 threshold).  So can whoever uploaded the file  
>>> fix the property to what Tim suggested?
>> Hmm,  I didn't touch the file, neither did anyone else at OpenLink.  
>> I just downloaded what was uploaded at: http://wiki.dbpedia.org/Downloads33 
>> , any based on my own personal best practices, put the data in a  
>> separate Named Graph :-)
>> Chris/Anja: I believe this data set was touched on your end, right?  
>> Please make the fixes in line with the findings from the  
>> conversation on this thread. Once corrected, I or someone else will  
>> reload.
>> Kingsley
>>> Thanks!
>>> Kavitha
>>> On Aug 10, 2009, at 5:03 PM, Kingsley Idehen wrote:
>>>> Kavitha Srinivas wrote:
>>>>> Agree completely -- which is why I sent a base file which had  
>>>>> the conditional probabilities, the mapping, and the values to be  
>>>>> able to compute marginals.
>>>>> About the URIs, I should have added in my email that because  
>>>>> freebase types are not URIs, and have types such as /people/ 
>>>>> person, we added a base URI: http://freebase.com to the types.   
>>>>> Sorry I missed mentioning that...
>>>>> Kavitha
>>>> Kavitha,
>>>> If you apply the proper URIs, and then apply fixes to the  
>>>> mappings (from prior suggestions) we are set.  You can send me  
>>>> another dump and I will go one step further and put some sample  
>>>> SPARQL queries together which demonstrate how we can have many  
>>>> world views on the Web of Linked Data without anyone getting hurt  
>>>> in the process :-)
>>>> Kingsley
>>>>> 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/ 
>>>>>> 613a353a7b693a303b643a37383b693a313b643a303b693a323b733a303a22223b693a333b733a303a22223b693a343b643a303b7d/
>>>>>> [2] http://ebiquity.umbc.edu/paper/html/id/427/Constraint-Generation-and-Reasoning-in-OWL
>>>> -- 
>>>> Regards,
>>>> Kingsley Idehen          Weblog: http://www.openlinksw.com/blog/~kidehen
>>>> President & CEO OpenLink Software     Web: http:// 
>>>> www.openlinksw.com
Received on Tuesday, 11 August 2009 11:38:17 UTC

This archive was generated by hypermail 2.4.0 : Friday, 17 January 2020 16:20:51 UTC