Geospatially Visualizing Users’ Preferences from APML Profiles

Tim April 11th, 2008

So, I’m getting some abuse from friends and colleagues for not updating my blog. Between grad school and work, I’ve found there’s little time to write entries! I’m sitting here in a hotel room in New Brunswick, NJ waiting for the new Office to come on, so I have some free time for the moment…

But here’s something that people may find interesting. For my INFO633 (Information Visualization) class at Drexel, I developed a framework for tracking trends and patterns in Google Earth based on concepts captured from APML profiles. This is my initial research in the feasibility of the idea, spanning about four weeks of work. I submitted it to the IEEE Information Visualization 2008 conference for review out of interest for understanding the call for papers process.

I’m a huge fan of DataPortability and am actively seeking areas where regular (non-technical) users will find value in the concepts and principles outlined by the initiative. Possibly a project for the DataPortability Labs?

Download the file here (11.3MB PDF warning).

Development is on-going. Comments welcome!

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4 Responses to “Geospatially Visualizing Users’ Preferences from APML Profiles”

  1. [...] Tim wrote an interesting post today on Geospatially Visualizing Usersâ?? Preferences from APML ProfilesHere’s a quick excerptFor my INFO633 (Information Visualization) class at Drexel, I developed a framework for tracking trends and patterns in Google Earth based on concepts captured from APML profiles. This is my initial research in the feasibility of the … [...]

  2. daniela barbosaon 11 Apr 2008 at 10:41 am

    whiskey,wine and APML - can’t get better then that.
    Good stuff- you have to get Garvy V on this!

  3. Timon 11 Apr 2008 at 7:28 pm

    Daniela - I agree all around!

    I spoke with Gary at the March 29th event at Wine Library and briefly ran the idea by him - gotta point him to the actual paper.

  4. Beren Erchamionon 12 Apr 2008 at 2:09 am

    Tim,

    Great stuff. Some of the work I’m doing is very much tied into how to drive behavior of patients that are suffering from chronic diseases. In order to do this we need to know how they are consuming the information and service we offer thru our applications. I think APML might be very useful for this.

    beren

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