Hi Andrei and welcome to our community!
On 3/12/14, 4:27 PM, Andrei Sfrent wrote:
> Hi,
>
> My name is Andrei Sfrent, I study for a Master's Degree in Machine
> Learning at Imperial College London and I am interested in working on
> one of the DBpedia projects in GSoC this summer.
>
> I previously had two internships with Google and I had the chance to
> work with Map Reduce / Knowledge Graph on YouTube data; you can find
> more information about me at [1]. I also have a good background in the
> parallelization and software optimization areas (last year I
> participated in an optimization contest organized by Intel and my team
> ended on the first place in Europe / forth place worldwide [2, 3]).
>
> The idea of a knowledge graph always attracted me (because of the many
> useful applications) and, because of my previous experience with large
> scale data processing, two of the data extraction project sound really
> appealing to me ("Fine-grained massive extraction of Wikipedia
> content" and "Extraction using Map Reduce"). I do not have experience
> with Scala, but I am a quick learner, being able to pick up a new
> language very fast (I have good command of Java / Python and I am
> familiar with the functional paradigm).
>
> Please, could you give me a few pointers on how to prepare my
> application? I am already following the warm up tasks and I hope I can
> put up a demo in the next few days.
First, you should follow the application template [1].
WRT idea #18 [2], you should start playing with the JSONpedia API [3] to
get a more detailed view of the project.
I will also add some specific warm-up tasks for this, so stay tuned!
Cheers!
[1] http://wiki.dbpedia.org/gsoc2013/apply
[2] http://wiki.dbpedia.org/gsoc2014/ideas#h359-23
[3] http://json.it.dbpedia.org/frontend/index.html
>
> [1] http://asfrent.net/CV.pdf
> [2] http://software.intel.com/fr-fr/articles/contest-winners-are-announced
> [3] http://intel-software-academic-program.com/tmp/certificates/4.pdf
>
> Best regards,
> Andrei SFRENT
>
> ------------------------------------------------------------------------------
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech
> _______________________________________________
> Dbpedia-gsoc mailing list
> [email protected]
> https://lists.sourceforge.net/lists/listinfo/dbpedia-gsoc
>
--
Marco Fossati
http://about.me/marco.fossati
Twitter: @hjfocs
Skype: hell_j
------------------------------------------------------------------------------
Learn Graph Databases - Download FREE O'Reilly Book
"Graph Databases" is the definitive new guide to graph databases and their
applications. Written by three acclaimed leaders in the field,
this first edition is now available. Download your free book today!
http://p.sf.net/sfu/13534_NeoTech
_______________________________________________
Dbpedia-gsoc mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/dbpedia-gsoc
