On 1/10/15 1:54 AM, Vladimir Alexiev wrote:
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 cloudHi 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 athttp://dbpedia.org/c/ But is there a quick way to invoke it from SPARQL results? Should I make a browser bookmark?
Best you make a bookmarklet for now, I'll look into making this RESTful service so that it's invoked via something like:
http://dbpedia.org/c?uri={sparql-results-url} -- Regards, Kingsley Idehen Founder & CEO OpenLink Software Company Web: http://www.openlinksw.com Personal Weblog 1: http://kidehen.blogspot.com Personal Weblog 2: http://www.openlinksw.com/blog/~kidehen Twitter Profile: https://twitter.com/kidehen Google+ Profile: https://plus.google.com/+KingsleyIdehen/about LinkedIn Profile: http://www.linkedin.com/in/kidehen Personal WebID: http://kingsley.idehen.net/dataspace/person/kidehen#this
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