On 10/22/13 8:48 PM, Michele Catasta wrote:
TRank is a pipeline that, given a textual/HTML document as input,
performs named-entity recognition, entity linking/disambiguation, and
entity type ranking/selection from a variety of type hierarchies
including DBpedia, YAGO, and schema.org.

TRank has been nominated as best paper at ISWC2013.
We have now released TRank open-source for others to use:
https://github.com/MEM0R1ES/TRank

It provides good test coverage, continuous build, and exhaustive
documentation. You can use it as is, or easily integrate your own
entity type ranking algorithm to compare against or to build on top of
TRank. Bug reports and pull requests are welcome!

We also recommend to watch/star the GitHub repository, as we will be
releasing soon the MapReduce implementation of TRank.


Nice work!

Do you offer a Web Service too? Basically, along similar lines to many of the other entity extraction services.

--

Regards,

Kingsley Idehen 
Founder & CEO
OpenLink Software
Company Web: http://www.openlinksw.com
Personal Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter/Identi.ca handle: @kidehen
Google+ Profile: https://plus.google.com/112399767740508618350/about
LinkedIn Profile: http://www.linkedin.com/in/kidehen





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