Hi Mara,

since you were asking about ontologies, let me point you to our work
on computational
fact checking from knowledge networks PLoS ONE
<http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0128193>.
We developed a measure of semantic similarity based on shortest paths
between any two concepts of Wikipedia using the linked data from DBPedia;
these the are links found in the infoboxes of Wikipedia articles; so it is
a subset of the hyperlinks of the whole web page.

In the article we use it as a way to check simple relational statements,
but it could be used for other uses too. And there are also a couple other
approaches from the literature, which we cite in the paper, that could also
be relevant for what you are doing.

HTH!

Giovanni


Giovanni Luca Ciampaglia <http://glciampaglia.com> *∙* Assistant Research
Scientist, Indiana University


On Sun, Feb 19, 2017 at 2:56 PM, Mara Sorella <[email protected]>
wrote:

> Hi everybody, I'm new to the list and have been referred here by a comment
> from a SO user as per my question [1], that I'm quoting next:
>
>
> I
>
>
>
> * have been successfully able to use the Wikipedia pagelinks SQL dump to
> obtain hyperlinks between Wikipedia pages for a specific revision
> time.However, there are cases where multiple instances of such links exist,
> e.g. the very same https://en.wikipedia.org/wiki/Wikipedia
> <https://en.wikipedia.org/wiki/Wikipedia> page and
> https://en.wikipedia.org/wiki/Wikimedia_Foundation
> <https://en.wikipedia.org/wiki/Wikimedia_Foundation>. I'm interested to
> find number of links between pairs of pages for a specific revision. Ideal
> solutions would involve dump files other than pagelinks (which I'm not
> aware of), or using the MediaWiki API.*
>
>
>
> To elaborate, I need this information to weight (almost) every hyperlink
> between article pages (that is, in NS0), that was present in a specific
> wikipedia revision (end of 2015), therefore, I would prefer not to follow
> the solution suggested by the SO user, that would be rather impractical.
>
> Indeed, my final aim is to use this weight in a thresholding fashion to
> sparsify the wikipedia graph (that due to the short diameter is more or
> less a giant connected component), in a way that should reflect the
> "relatedness" of the linked pages (where relatedness is not intended as
> strictly semantic, but at a higher "concept" level, if I may say so).
> For this reason, other suggestions on how determine such weights (possibly
> using other data sources -- ontologies?) are more than welcome.
>
> The graph will be used as dataset to test an event tracking algorithm I am
> doing research on.
>
>
> Thanks,
>
> Mara
>
>
>
>
> [1] http://stackoverflow.com/questions/42277773/number-of-
> links-between-two-wikipedia-pages/
>
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>
>
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