Hi Andrey & welcome,
I sent you a slack invitation, regarding your project questions, I think it
is best if you ask them on the ideas page directly
Cheers,
Dimitris
On Wed, Mar 9, 2016 at 12:29 AM, Sandro Coelho <sandroacoe...@gmail.com>
wrote:
> Welcome to DBpedia Andrey!
>
> Nice to know that you are working on warm-up tasks. Keep going and please use
> the ideas page to discuss details for each project.
>
> About Slack, @Dimitris can provide you more details.
>
> All the best,
>
>
> 2016-03-08 9:54 GMT-03:00 Andrey Pechenezhskiy <apechenezhs...@gmail.com>:
>
>> Hello!
>>
>> My name is Andrey Pechenezhskiy, I have been studying at the Perm State
>> University, Russia for six years. My research interests lie in the fields
>> of NLP and web-mining for Competitive Intelligence tasks.
>>
>> I am interested in the table extractor project
>> <http://wiki.dbpedia.org/ideas/idea/59/the-table-extractor/> that aims
>> to extract data hidden in tables because I have experience in the web
>> content mining and Scala. I have studied the code of the soccer extractor
>> <https://bitbucket.org/tsiteam/soccer-extractor> which parses a
>> Wikipedia template “CarrieraSportivo” and composes an RDF graph. I decided
>> to continue working with the football domain on the first step because this
>> domain contains many different tables. I have been researching the
>> Wikipedia templates that formats tables. Then I have worked with the
>> extraction-framework and found some infobox mappings for the table
>> templates that could be useful.
>>
>> I think the project will be based on the systematization of hypothesis
>> testing results. So, have the result of the project to be a new table
>> extractor in extractor-framework and should intermediate work of the
>> project be Scala scripts without extraction-framework?
>>
>> I will continue to explore extractor-framework, Wikipedia tables, and
>> articles about the table extraction, then I will write the draft of the
>> proposal and will implement extractor for some table templates in Scala. I
>> will appreciate if you invited me in the DBpedia #gsoc slack channel or
>> give me some suggestions.
>>
>> Thanks in advance!
>>
>>
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>>
>
>
> --
> Sandro
>
>
>
>
> ------------------------------------------------------------------------------
> Transform Data into Opportunity.
> Accelerate data analysis in your applications with
> Intel Data Analytics Acceleration Library.
> Click to learn more.
> http://makebettercode.com/inteldaal-eval
> _______________________________________________
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> https://lists.sourceforge.net/lists/listinfo/dbpedia-gsoc
>
>
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Kontokostas Dimitris
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