Hi Lydia, hello Denny,
Thank you so much. I have to apologise for my delayed response, got caught
up with university lab exams and assignments; the semester is drawing to an
end.
Firstly, Lydia - thanks for the link. The Data model primer really helps.
I've been browsing the pages on
, and surely now I realize why
this is so important (please read my question in the last paragraph). It'll
reduce a lot of repeated labour. I'm currently setting up a mediawiki
instance and my development environment. I'll ask quick questions if I need
any help along the way.
Denny - That's just what I wanted to know - clean and crisp. Thanks! I'm
browsing the xml for some familiar entries and comparing them to the pages
on
(eg. India <http://www.wikidata.org/wiki/Q668>). I'm
getting the whole picture now.
I have a question - when someone creates a new statement, for suggesting
"properties", I can use collaborative filtering to make suggestions.
Example, explained in the simplest terms - suppose there are X cities in
the dataset. The user is adding another city (writes 'city in Australia'
for short description). The system checks all other cities, figures out the
common properties and suggests them. Cool. But I can't get any "exact"
ideas off the top of my head that can used to suggest "values" for the
properties. Suppose one of the recommended properties is "population". How
can I make the system guess its value? (Am I getting this right?) Have you
guys got anything on your minds regarding this? Please point me to the
right direction. :)
Cheers,
Nilesh
On Mon, Apr 22, 2013 at 7:54 PM, Denny Vrandečić <
denny.vrandecic(a)wikimedia.de> wrote:
You can get the data from here:
http://dumps.wikimedia.org/wikidatawiki/20130417/
All items with all properties and their values are inside the dump. The
questions would be, based on this data, could we make suggestions for:
* when I create a new statement, suggest a property. then suggest a value
* suggest qualifier properties, then suggest qualifier values (there is no
data yet on qualifiers, but this would change soon)
* suggest properties for references, and values
Does this help?
Cheers,
Denny
2013/4/19 Nilesh Chakraborty <nilesh(a)nileshc.com>
Hi,
I am a 3rd year undergraduate student of computer science, pursuing my
B.Tech degree at RCC Institute of Information Technology. I am proficient
in Java, PHP and C#.
Among the project ideas on the GSoC 2013 ideas page, the one particular
idea that seemed really interesting to me is developing an Entity
Suggester for Wikidata. I want to work on it.
I am passionate about data mining, big data and recommendation engines,
therefore this idea naturally appeals to me a lot. I have experience with
building music and people recommendation systems, and have worked with
Myrrix and Apache Mahout. I recently designed and implemented such a
recommendation system and deployed it on a live production site, where
I'm
interning at, to recommend Facebook users to each
other depending upon
their interests.
The problem is, the documentation for Wikidata and the Wikibase extension
seems pretty daunting to me since I have not ever configured a mediawiki
instance or actually used it. (I am on my way to try it out following the
instructions at
http://www.mediawiki.org/wiki/Summer_of_Code_2013#Where_to_start.) I can
easily build a recommendation system and create a web-service or REST
based
API through which the engine can be trained with
existing data, and
queried
and all. This seems to be a collaborative
filtering problem (people who
bought x also bought y). It'll be easier if I could get some help about
the
part where/how I need to integrate it with
Wikidata. Also, some sample
datasets (csv files?) or schemas (just the column names and data types?)
would help a lot, for me to figure this out.
I have added this email as a comment on the bug report at
https://bugzilla.wikimedia.org/show_bug.cgi?id=46555#c1.
Please ask me if you have any questions. :-)
Thanks,
Nilesh
--
A quest eternal, a life so small! So don't just play the guitar, build
one.
You can also email me at contact(a)nileshc.com or
visit my
website<http://www.nileshc.com/>
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You can also email me at contact(a)nileshc.com or visit my