Attention Infrastructure for everyone.

Select from any combination of our open standards based web-services to quickly and easily add ‘attention awareness’ to your app or mash up

By Faraday Media

Posts Tagged ‘APML Workgroup’

Fav.or.it announced intention to support APML

Sunday, October 21st, 2007

Fav.or.it have announced an intention to support APML on their blog. From the video it looks like a very impressive feed reading app - can’t wait to play with it!

The announcement is on the Fav.or.it blog.

Newsgator and Bloglines support APML

Monday, October 15th, 2007

We are very happy to announce the following new developments for APML.

NewsGator Announcement
NewsGator has just announced on their developer blogs that NewsGator Technologies Inc to support APML across its product range starting with FeedDemon, NetNewsWire and NewsGator Inbox

Further, The APML Workgroup is announcing:

  • With NewsGator Technologies APML implementation, they now join:

    These are three companies that already support APML using Engagd.com APIs.
    Engagd.com makes APML implementation quick and easy using a simple API— great for mash-ups all the way through to large-scale apps.

  • There has been a new APML.org site launched - It’s designed to make APML a little easier to understand.
  • There is now a new APML public discussion group for the community.
  • There have been a number of new additions to the APML Workgroup:
    • NewsGator (family of cross-platform and mobile feed aggregators)
    • Bloglines (web-based and mobile feed aggregator)
    • Me.dium (social browsing)
    • Ma.gnolia (social Bookmarking)
    • Talis (semantic platform)
    • Peepel (multi-window AJAX environment and office suite)

This follows previous successes of the APML Workgroup such as:

Thanks and Acknowledgements

As usual, I would like to thank everyone involved in and around the APML Workgroup.

Particular thanks to the latest round of announcements must go to Chris Pirillo, Ben Metcalfe, Elias Bizannes, Daniela Barbosa, Ross Dawson and Marshall Kirkpatrick.

Also my personal thanks must go to Marjolein Hoekstra who has been instrumental in pushing things forward.

Coverage

Digg the news!

Got Questions? We got answers!

Tuesday, September 25th, 2007

We have been getting a lot of questions about APML and Engagd lately. You might say that many of them have become ‘Frequent’. So we have written a list of Frequently Asked Questions, and even taken the time to answer them too!

Check out the Engagd FAQ on the Wiki. As usual your input is always welcome!

Huge thanks to Marjolein for the help and inspiration with this.

Google reader set to abuse more of your Attention Data

Tuesday, September 11th, 2007

The recent leak of Google’s plans for its Google Reader product are interesting. Particularly the following point:

Very soon, Google Reader will recommend feeds to the user, based on previous subscriptions and other Google activity.

Every day, more and more applications - particularly Google Apps - are starting to use and abuse your Attention Data.

This is a growing concern that I have been tracking for some time.

From that previous post:

Are you so willing to give up your rights so easily? You are, in effect, saying that you are happy for Google to absorb all your personal data - your digital identity (incidentally your digital identity is quickly becoming a large proportion of your overall identity) - and you’re going to TRUST them to be completely benevolent about it? Forever?

You want no leverage? None? You don’t want any accountability? Ownership? Mobility? Economy? Transparency? Because while I love Google as much as the next person - they are not transparent. And they do not respect your Attention rights.

This brings me to my next point. Economy implies that something (property) has value (in this case your Attention Data and Attention Profile). It also implies that you can transfer your property (and its value). You can sell it and leveraged and do all sorts of fancy things. It also requires multiple participants in an ecosystem.

So to dig deeper into Sam’s original question “Is Google Building the Attention Economy?” the answer is no.

Google is not building the Attention Economy. They are using their huge surface area to try to grab as much of your Attention Data as possible to target and sell ads on TV, Radio, Web and Print. They are increasingly becoming an ‘Attention Aware Advertising Company’.

Another key question now is, if you have an application that displays RSS/ATOM, do you have a Personal Relevancy/Attention Data strategy? If not, your software will quickly become obsolete.

Join the APML workgroup and add Engagd functionality to your feed reader today (as others are) to make sure your feed reading efforts remain relevant (pun intended).

Facebook is using your data to target ads at you

Monday, August 27th, 2007

From the Particls Blog:

According to the Wall Street Journal online Facebook is designing an ad system to use their extensive knowledge of its users to target advertising to them.

This move is hardly unexpected. Chances are many sites across many usage models are considering and implementing the same thing.

Read how this can affect your privacy and the application of APML in this scenario on the Particls blog.

Social Network Portability

Thursday, August 2nd, 2007

Social Network Portability is a cause near and dear to our heart here at Engagd. The belief that users own their own data and should be able to transport their identity and relationships from one silo to another is central to our mission and business.

Some very smart heroes of mine are working on just that problem. Read more about it on Brian Oberkirch’s post. There is also a Wiki.

Engagd currently supports this effort by further developing the APML ecosystem. As most people know APML stands for Attention Profiling Markup Language. It’s described on the APML Workgroup site as:

APML allows users to export and use their own personal Attention Profile in much the same way that OPML allows them to export their reading lists from Feed Readers.

The idea is to boil down all forms of Attention Data – including Browser History, OPML, Attention.XML, Email etc – to a portable file format containing a description of ranked user interests.

This means that users can gather their implicit data from Social Networks (and any other sort of web application) and create a portable profile of their interests.

In a world where time is limited and information is abundant, Attention is a key part of the puzzle.