[OpenGLAM] Elog.io now up w/ Commons data

[Jonas Öberg]

Hi James,

I'm wondering if this is an issue with the Chrome version, or a
peculiarity of Chrome on Mac. Could you let me know which Chrome
version you're using, and I'll file an issue for us to look at that?
You can find the Chrome version by visiting chrome://chrome

Sincerely,
Jonas


On 11 December 2014 at 09:58, James Morley <James.Morley at europeana.eu> wrote:
> Hi Jonas
>
> I saw you present this at Wikimania London and it looks interesting.
>
> I just tried installing the Chrome extension on my Mac and it repeatedly tells me 'There was a problem adding the item to Chrome. Please refresh the page and try again'. Any ideas what this might be?
>
> Thanks, James
>
> ________________________________________
> From: open-glam [open-glam-bounces at lists.okfn.org] on behalf of Jonas Öberg [jonas at shuttleworthfoundation.org]
> Sent: 11 December 2014 09:35
> To: open-glam at lists.okfn.org
> Subject: [OpenGLAM] Elog.io now up w/ Commons data
>
> Dear all,
>
> this may be of interest to some of you who have collections available
> through Wikimedia Commons (and to everyone else too, for that matter,
> but in different ways).
>
> Yesterday, we released the public beta of Elog.io, a catalog of
> creative works initially seeded with 22,452,638 images from Wikimedia
> Commons. Elog.io provides a way to search that collection by a
> perceptual hash, which matches an image even if it's been moved away
> from Commons, resized, and had its format changed.
>
> You can get more information and download our browser extensions from
> http://elog.io/
>
> Why is this relevant, you ask? Let's say you really like ferrets, and
> you're reading about ferrets on the Examiner web site:
> http://www.examiner.com/article/ferret-color-and-pattern-variations
> And you see the image of a ferret on a bed and think "this looks
> familiar!" With Elog.io, you can match that image of a ferret on a bed
> to Wikimedia Commons:
> https://commons.wikimedia.org/wiki/File:Domestic_ferret.jpg
>
> You'll learn where it's from and what license it's under, despite this
> not being included in the Examiner web site. The same would be true
> for any collection which is part of the Elog.io catalog. As of right
> now, we've only included Wikimedia Commons, but we're actively looking
> to include other collections too.
>
> What the browser extensions allow you to do in addition to matching an
> image you find
> "in the wild" against Wikimedia Commons is that it provides a quick and
> handy "Copy as HTML" to copy the image and attribution as a HTML
> snippet for pasting into Word, LibreOffice, Wordpress, etc.
>
> Elog.io is also an open API, which provide lookup functions to find
> information using a URL (the
> Commons' page name URL) or using the perceptual hash, which can then
> be implemented in other applications.
>
>
> Sincerely,
>
> --
> Jonas Öberg, Founder & Shuttleworth Foundation Fellow
> Commons Machinery | jonas at commonsmachinery.se
> E-mail is the fastest way to my attention
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-- 
Jonas Öberg, Founder & Shuttleworth Foundation Fellow
Commons Machinery | jonas at commonsmachinery.se
E-mail is the fastest way to my attention