Hi Rami,
DBpedia Spotlight has a direct disambiguation function:
http://dbpedia.org/spotlight
You can mark the detected entities you would like to have disambiguated
with [[ ]] in the text, I think
The tools is also Internationalized right now for several languages,
although I am not sure what the current status of that is.
Of course there are many other tools that probably do the same. You
could check the related work section here:
http://blog.semantic-web.at/wp-content/uploads/2011/09/p1_mendes.pdf
and also
http://en.wikipedia.org/wiki/Knowledge_extraction#Entity_Linking
If you need to interchange services easily and want to have a unified
interface, there is the NLP Interchange Format, which is :
http://nlp2rdf.org/nif-1-0#toc-named-entity-recognition-and-entity-linking
Note that I have no actual hands-on experience with the services.
Somebody else could answer that part better :)
All the best,
Sebastian
On 11/20/2011 08:48 PM, Rami Al-Rfou' wrote:
Hi All,
I am working on a project where I need to identify entities in a text and
link them back to Wikipedia articles or freebase IDs. I can detect the
entities but I need a system that can disambiguate them. As I noticed many
systems use Wikipedia as a backend for knowledge. I would like to hear your
opinion regarding any previous experiences dealing with any of the
different available systems. I tried till now Wikipedia miner, and the
problem it can not detect most of the _real_ ambiguous situations. For
example, the American town called
Hebron<http://wikipedia-miner.cms.waikato.ac.nz/demos/annotate/?source=Hebron+is+a+town+in+Boone+Township%2C+Porter+County%2C+Indiana%2C+United+States.+The+population+was+3%2C724+at+the+2010+census.&sourceMode=AUTO&repeatMode=ALL&minProbability=0>.
Accuracy can be traded in case the system is really fast as we are planning
to process huge amount of data.
Regards.
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--
Dipl. Inf. Sebastian Hellmann
Department of Computer Science, University of Leipzig
Projects:
http://nlp2rdf.org ,
http://dbpedia.org
Homepage:
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