On Mon, Jul 24, 2017 at 5:22 PM, Stuart A. Yeates syeates@gmail.com wrote:
Sorry it's taken me so long to get back to this. https://pdfs.semanticscholar.org/dea9/142b39bdc2c3738e0f9cb7c6d117750ef2f7.p... and https://meta.wikimedia.org/wiki/Beyond_categories are good places to start on the issues with cats on en.wiki.
very helpful. Thanks!
Leila
cheers stuart
-- ...let us be heard from red core to black sky
On 12 July 2017 at 02:53, Leila Zia leila@wikimedia.org wrote:
Hi Stuart,
On Mon, Jul 10, 2017 at 6:45 PM, Stuart A. Yeates syeates@gmail.com wrote:
The category system on en.wiki is not an IS-A system and there have been several discussions about making it it based on mathematical principals which have come to nothing because the consensus of editors is against
it.
The best way to think about categories is as a locally-faceted related links system.
It would be great if you can share a link to one or more of those conversations, if it's not too hard to find them. This is a conversation that comes up often and I'd like to educate myself with this background. (and to confirm: on our end the goal is not to change the category system on enwiki, but to make it machine understandable for specific applications.)
Having said that, Category:Wikipedia maintenance is an important root probably useful for separating the wheat from the chaff. Most of these
are
also hidden categories. I'm not sure whether this flag appears in the
SQL,
but see https://en.wikipedia.org/wiki/Wikipedia:Categorization#Hiding_categories
Looking into these. thanks!
Best, Leila
cheers stuart
-- ...let us be heard from red core to black sky
On 11 July 2017 at 13:20, Leila Zia leila@wikimedia.org wrote:
Hi all,
[If you are not interested in discussions related to the category system (on English Wikipedia) , you can stop here. :)]
We have run into a problem that some of you may have thought about or addressed before. We are trying to clean up the category system on
English
Wikipedia by turning the category structure to an IS-A hierarchy. (The output of this work can be useful for the research on template recommendation [1], for example, but the use-cases won't stop there).
One
issue that we are facing is the following:
We are currently using SQL dumps to extract categories associated with every article on
English
Wikipedia (main namespace). [2] Using this approach, we get 5 categories associated with Flow cytometry bioinformatics article [3]:
Flow_cytometry Bioinformatics
Wikipedia_articles_published_in_peer-reviewed_literature Wikipedia_articles_published_in_PLOS_Computational_Biology CS1_maint:_Multiple_names:_authors_list
The problem is that only the first two categories are the ones we are interested in. We have one cleaning step through which we only keep categories that belong to category Article and that step removes the
last
category above, but the other two Wikipedia_... remain there. We need to somehow prune the data and clean it from those two categories.
One way we could do the above would be to parse wikitext instead of the
SQL
dumps and focus on extracting categories marked by pattern
[[Category:XX]],
but in that case, we would lose a good category such as Guided_missiles_of_Norway because that's generated by a template.
Any ideas on how we can start with a "cleaner" dataset of categories related to the topic of the articles as opposed to maintenance related
or
other types of categories?
Thanks, Leila
[1] https://meta.wikimedia.org/wiki/Research:Expanding_Wikipedia _stubs_across_languages
[2] The exact code we use is
SELECT p.page_id id, p.page_title title, cl.cl_to category FROM categorylinks cl JOIN page p on cl.cl_from = p.page_id where cl_type = 'page' and page_namespace = 0 and page_is_redirect = 0
and the edges of the category graph are extracted with
*SELECT p.page_title category, cl.cl_to parent * *FROM categorylinks cl * *JOIN page p * *ON p.page_id = cl.cl_from * *where p.page_namespace = 14*
[3] https://en.wikipedia.org/wiki/Flow_cytometry_bioinformatics _______________________________________________ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
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