> > It's a precaution: Wikipedia categories are a navigational aid, and can't 
> > be used reliably to find things of a certain kind.
> 1. apply a FILTER based on your known
>   knowledge (e.g., what you've pointed out above)
> 2. enhance this list with your domain knowledge
>  and then hopefully publish back to the LOD cloud 

Hi Kingsley!

The problem is:
1. How to KNOW which categories represent types. There are 5-10 approaches for 
this, based on NLP and ML.
  E.g. Yago2 assumes that if the head-word of the cat name is a plural noun, 
that's a class.
  MENTA improves this by looking for a head-word that's a countable noun.
  A lot of them tie up into Wordnet, some into OpenCyc/UMBEL.
  It's a hard research problem.
2. How to KNOW which category-entity instance is an exception.
  E.g. a category "Books of Author Xyz" is typically applied to the page 
"Author Xyz" and a naïve interpretation will conclude that the author is a book.

In wikipedia, Categories are a navigational aid, i.e. "mere" links.  The trick 
is how to find those links that are type links.

> >> >http://dbpedia.org/c/9CH4UXVL  -- shortened version of the above
> > Kingsley, how do you get this?

My question was about the shortening. Hacking the URL I find that the 
dbpedia URL shortener is at http://dbpedia.org/c/
But is there a quick way to invoke it from SPARQL results? Should I make a 
browser bookmark?



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