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

Fri Jan 23 06:47:02 UTC 2015

Hi Jonas

This is great to hear. I've had the Chrome extension installed for some time and have made a very small contribution towards those figures!

If you are now looking at expanding the range of indexed content, can I offer my help with anything you might want to look at regarding Europeana content? We are also in the final stages of our project that will allow users to extract material not just by license, as you currently can, but also by technical metadata related to the media - for example image dimensions, colours etc. I think this should open up a few possibilities for you.

As an aside, it's great that you've had a good response from Flickr Commons. Whenever I have worked with their content it has been really difficult to get any sort of response other than from a few individual staff members I have established contact with.

Finally, I'm sure, whether informally or more formally, we can try to give some help with the awareness campaign and I will talk about this with colleagues today.

Best wishes

James

________________________________________
From: open-glam [open-glam-bounces at lists.okfn.org] on behalf of Jonas Öberg [jonas at shuttleworthfoundation.org]
Sent: 22 January 2015 16:58
To: open-glam at lists.okfn.org
Subject: Re: [OpenGLAM] Elog.io now up w/ Commons data

Hi everyone,

just as a quick followup to this, since it's about a month since we
launched. We have a rather steady stream of requests coming in to
Elog.io. Right now it's at around one-two accesses per second with
requests for information about a photograph found online. Since launch
we've served about 550k requests.

But we're still at 22M photographs in the catalog. That will change
now though; we have information coming into the catalog from Safe
Creative, and we're testing imports from Flickr, thanks to the awesome
people from Flickr's research & commons teams.

Come Saturday next week, we'll launch a campaign to raise more
awareness of Elog.io and get us going through to summer, to our next
milestone. We would really appreciate your help in this! I'll be
sending an announcement to this list later on, but something you can
do immediately is to Thunderclap us:

   https://www.thunderclap.it/projects/21512-clapping-for-photographers#

Thunderclap is a service that, when you sign in with your Facebook,
Twitter or Tumblr account, can post our campaign announcements on your
behalf, automatically next week, so you don't need to think about it
until then :)

Thanks for your support!

Sincerely,
Jonas

On 11 December 2014 at 09:35, Jonas Öberg
<jonas at shuttleworthfoundation.org> wrote:
> 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

--
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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