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