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

[Jonas Öberg]

Hi James,

I believe this problem will now have been fixed. Could you try
installing again from
https://chrome.google.com/webstore/detail/elogio-browser-extension/fggflpkcoiangfbhbekafhpkijbglcmi?

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