Conceptnet is a commonsense database in form of a large semantic network
containing
150,000 concepts and 700,000 assertions. http://conceptnet.media.mit.edu/
The concepts are linked to each other by 23 predicates. ( eg. Dog isa pet )
currently i am trying to bring this dataset ( creative commons 3.0 license )

on semantic web by linking with dbpedia.
However as i am new to this field i request your advice on how it can be
done.
Till now i have been successful in linking the good quality (more than one
assertion)
concepts from concpetnet with cwcc classes and yago classes.
( the concepts are linked with categories as all member of the
categories can be considered as related to the concept)
The data is available from here

aubhat2.googlepages.com

Before linking the concepts with wikipedia articles (as done in cyc dataset)
i would like to get your opinions regarding the similarity metrics which can
be used.


-- 
akshay uday bhat.
department of chemical engineering
university institute of chemical technology
mumbai India
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