On Tue, Apr 3, 2012 at 10:40 PM, Jona Christopher Sahnwaldt <[email protected]
> wrote:
> If I understand correctly, you need some kind of tool that analyzes
> the textual differences between article versions and groups users by
> these differences. I am afraid there is not much that DBpedia can help
> you with.
>
Correct.
I think it would be possible to just look for key words, there are user who
will go around and consistently add in one particular word to a set of
articles,
and others who will remove that and add another.
I would be willing to study the history of a select set of articles, even
the rdf extracted would be different. there are edit wars over parts of
articles that would show up in dbpedia on the top level.
> All, please correct me if I'm wrong. Particularly, DBpedia spotlight
> analyzes the unstructured text - how about that?
>
I will look into it. ... yes very nice.
I am willing to do my own coding, it would be nice to have an
infrastructure for doing this. I have looked at the wikparser code in 09
and other things, not up to date.
THANK YOU. this is a good start.
So I think that this would comprise of a feature extractor that would
create rdf triples out of the text that i am looking for and then compare
the changes in the triples over time.
ideally we would only have to store the fact that a user introduced or
retracted some triple and that would be stored as some delta.
these are just some ideas.
mike
--
James Michael DuPont
Member of Free Libre Open Source Software Kosova http://flossk.org
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