Rough notes on Kipp's recent tagging paper from the IA Summit
I saw M. Kipp present a paper at ASIS&T last year. Her new paper is on non-aboutness tagging:2007) @toread and Cool : Tagging for Time, Task and Emotion. In Proceedings Information Architecture Summit 2007, Las Vegas, Nevada (US). (pdf on E-LIS).
- Inspec and some other databases have cv not related to "aboutness" -- like treatment types. I find treatment types very handy. A couple of the tags she pulls out are essentially treatment types.
- I think she's entirely correct not to dismiss non-subject tags as noise as others have done. (too many negatives in a sentence -- others dismiss affective and task/time tags as noise, she doesn't and I think that's good)
- She looks at CiteULike, Connotea, and Del.icio.us -- and does some rough normalization across. It's interesting, because I would think that norms would develop in Connotea and CiteULike that would be much different from those in del.icio.us.
- Toread tag - she proposes that this could function like Amazon type recommendations... but users are recommending things they haven't read (it's not like I don't do that a lot ;) ), indicating interest, hm, but people are presumably buying things they haven't read, too, but that's a bigger commitment...
- She cites the PIM work by Kwasnik and others on how people manage their personal information -- not by subject, often, but by action required, time, or project
- I like that "fun" and "physics" co-occurred a lot.
- She mentions just in passing tagging to establish relationships -- I think this should be better developed. How can tagging internally in an organization be more semantically rich? How can the tagging be more meaningful?