Scoop: Touchstone does APML
Tomorrow the creators of Touchstone will announce a new initiative to implement a “Attention Profiling Mark-up Language” or APML. This new standard should allow 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. You might think this is a bit similar to the AttentionTrust service, but APML does not propose to compete or even cover the same area. It is designed to take attention.xml and all other forms of storing one’s attention and create an outline of ranked interests.
The possible uses for APML are endless, and very cool! Just imagine being able to export your Attention Profile from Amazon and plugging it into Digg to get an instantly customized view of the top Digg stories most relevant to your interests! Oh yeah baby…
Chris Saad (TouchStone/Faraday Media) anticipates that an ecosystem of technologies can begin to write and consume the format and they are taking the lead with Touchstone’s U-AR and I-AM engines.
They are looking forward to working with everyone in the community to ensure the format delivers on this promise and empowers users to take control of their Attention. APML is 100% open and they hope to make it an official standard when the community decides it’s ready. Find out more about APML at apml.org.
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Check out what others are saying about this post...[...] Further coverage of APML can be found here. [...]
[...] - Thanks to a Feed is Born for bringing this scoop to light [...]
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[...] I picked this up from a Feed Is Born and think that the implications are tremendous. For a while now I have been able to safely store my RSS feeds as an OPML file but, look what I can store with APML [...]
[...] APML - Attention Profiling Markup LanguageReally interesting stuff! Touchstone is releasing an draft open specification for Attention Data! APML will allow 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.They go on to discuss possible uses for the Attention Data, and how it will let users control their personal information. APML.org - Thanks to a Feed is Born for bringing this scoop to light [...]