Difference between revisions of "Vulcan/MeetingNotes/Aug16 2013"

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(Update)
(Update)
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: 1. Online components implemented. See [[SystemStatus | System development status]] for details.<br/>
 
: 1. Online components implemented. See [[SystemStatus | System development status]] for details.<br/>
 
<blockquote>
 
<blockquote>
* <br/>
+
* Proposition generator<br/>
* <br/>
+
* Evidence finder -- Tuple matching over Open IE Clueweb data. <br/>
 
* <br/>
 
* <br/>
  
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: 3. Evaluation...
 
: 3. Evaluation...
 
<blockquote>
 
<blockquote>
* Sent an email to Peter.<br/>
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* Vulcan has a good evaluation interface setup. We will use this for starters.<br/>
 
* <br/>
 
* <br/>
 
* <br/>
 
* <br/>
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* Looks like a separte backward-chained inferencer won't be necessary.<br/>
 
* Looks like a separte backward-chained inferencer won't be necessary.<br/>
 
* Tuffy, an MLN implementation, does KBMC to scale MLN inference. Details [http://hazy.cs.wisc.edu/hazy/papers/tuffy-vldb2011-slides.pdf|here]<br/>
 
* Tuffy, an MLN implementation, does KBMC to scale MLN inference. Details [http://hazy.cs.wisc.edu/hazy/papers/tuffy-vldb2011-slides.pdf|here]<br/>
 
 
</blockquote>
 
</blockquote>
  

Revision as of 06:57, 16 August 2013

Update

Focusing on system development.
1. Online components implemented. See System development status for details.
  • Proposition generator
  • Evidence finder -- Tuple matching over Open IE Clueweb data.

2. Components tested using ...



3. Evaluation...
  • Vulcan has a good evaluation interface setup. We will use this for starters.



Design questions.
1. Why not use MLN directly? Why use a backward chained inferencer (such as Jena) as an intermediate step?
  • Looks like a separte backward-chained inferencer won't be necessary.
  • Tuffy, an MLN implementation, does KBMC to scale MLN inference. Details [1]


Analysis
1. Selected 10 propositions that are single Open IE tuples as starting targets.
2. Wrote down steps involved in verifying these propositions.