Hi Radhika,
Since you read Jona's thesis you could experiment with the extraction
process,
maybe try to configure it for a language you know that does not already
exists in the repo, this is the best warm-up task I guess :).
You can use the precompiled version (
https://github.com/dbpedia/dbpedia-wiktionary)
or try from source code (
https://github.com/dbpedia/extraction-framework/tree/master/wiktionary).
Note that what we need on this case is a GUI for non-expert users to
configure the different Wikitionary language editions (GUI -> xml config).
So, Scala would be nice but is not a prerequisite in this idea.
Cheers,
Dimitris
On Mon, Apr 22, 2013 at 4:37 PM, Radhika Gaonkar <[email protected]>wrote:
> Dear Sebastian,
>
> I am Radhika Gaonkar, an undergraduate computer science student at
> BITS Pilani , Goa. I am planning to apply to DBpedia for the project
> Wikitionary 2 RDF extraction GUI.
>
> I am about to complete a project on recommendation systems for user's
> bookmarks. I have used a lot of nlp and machine learning techniques for
> this. Specifically talking, tools such as nltk in python and maximum
> entropy classifiers.
>
> Currently I am working on developing knowledge graphs using neo4j in
> java. Its a small project using wikipedia dumps. I recently started this
> and I am studying graph databases for the same. I read the master thesis
> paper by Brekle, Jonas. I would love to work in this field . I checked up
> on scala and it should take me 2-3 more days to get familiar with it
>
> I am really late with this, but it will be great if you can help me
> get started. I have checked up on the dbpedia pages and I am aware of the
> work that you guys are looking for. How exactly should I approach the
> entire application process?
>
> Best Regards,
>
>
>
>
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Kontokostas Dimitris
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