PS: It would be cool if you could add a few lines to
https://github.com/dbpedia/extraction-framework/wiki/Dbpedia-Abstract-Extraction-step-by-step-guide
or even improve the script itself with better error and usage messages and
send a pull request.
https://github.com/dbpedia/extraction-framework/wiki/Contributing
Thanks!
On Apr 16, 2013 12:02 PM, "Jona Christopher Sahnwaldt" <[email protected]>
wrote:
> I quickly put that script together when I ran the abstract extraction last
> year, and I never expected it to have so many users. :-)
>
> I'm sorry that it's so badly documented and not really finished. I'll
> improve it in May. Don't have time now. :-(
>
> JC
> aaaa ok we need to download the MySQL archive before I thought the script
> did it for us. Maybe add this precision in the documentation ?
>
> Thanks :-)
>
> Best.
>
> Julien.
>
>
> 2013/4/16 Andrea Di Menna <[email protected]>
>
>> Hi Julien,
>>
>> reading the mysql.sh script you should first set the env variable
>> MYSQL_HOME to you MySQL installation folder.
>> The script is first accessing that folder and then launching some MySQL
>> scripts/commands, link mysql_install_db [1]
>>
>> Cheers
>> Andrea
>>
>> [1] http://dev.mysql.com/doc/refman/5.0/en/mysql-install-db.html
>>
>>
>> 2013/4/16 Julien Plu <[email protected]>
>>
>>> Hi,
>>>
>>> The extraction tool has finished to compile and to download the dumps so
>>> now I install MySQL with the "dump/src/main/bash/mysql.sh" script, and
>>> when I run this script with the "sudo ./src/main/bash/mysql.sh install
>>> /etc/mysql/" command I fall on this error :
>>>
>>> ./src/main/bash/mysql.sh: ligne 51: ./scripts/mysql_install_db: No such
>>> file or directory
>>>
>>> And indeed this script doesn't exist in the repo. I have to download it
>>> somewhere ?
>>>
>>> Best.
>>>
>>> Julien.
>>>
>>>
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>>
>
>
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> analytics on semi-structured data. The platform includes APIs for building
> apps and a phenomenal toolset for data science. Developers can use
> our toolset for easy data analysis & visualization. Get a free account!
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analytics on semi-structured data. The platform includes APIs for building
apps and a phenomenal toolset for data science. Developers can use
our toolset for easy data analysis & visualization. Get a free account!
http://www2.precog.com/precogplatform/slashdotnewsletter
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