Comments on: Venn diagrams for Groups UI http://danbri.org/words/2008/02/10/275 the web, the world, us, you and them Thu, 11 Mar 2010 21:48:30 +0000 hourly 1 By: danbri’s foaf stories » Language Expertise in FOAF: Speaks, Reads, Writes revisited http://danbri.org/words/2008/02/10/275/comment-page-1#comment-13865 danbri’s foaf stories » Language Expertise in FOAF: Speaks, Reads, Writes revisited Mon, 10 Mar 2008 14:32:24 +0000 http://danbri.org/words/2008/02/10/275#comment-13865 [...] work. These skills effectively define groups (loosly, sets) of people, and skill search can be pictured in venn diagram terms. Of course all this depends on getting enough data out there for any such [...] [...] work. These skills effectively define groups (loosly, sets) of people, and skill search can be pictured in venn diagram terms. Of course all this depends on getting enough data out there for any such [...]

]]> By: http://melvster.com/ http://danbri.org/words/2008/02/10/275/comment-page-1#comment-13592 http://melvster.com/ Mon, 11 Feb 2008 09:59:38 +0000 http://danbri.org/words/2008/02/10/275#comment-13592 This is a cool tool. If you up the number of edges, you can get smoother circles. Coincidentally, John Venn happened to study at my college and I was teaching someone about Venn diagrams yesterday. I was thinking about this subject just before reading this post ... I see group memebership as being a critical part of your online indentity, your online reputation and your online permissions. You are right to say that it's tricky, not least because you have different TYPES (degrees?) of membership, from highly integrated, to a passing association. I think tools like vennmaster are a good place to start, but I think down the road we are heading for tools that will both record and quantirfy group membership. If I find any, I'll let you know! This is a cool tool. If you up the number of edges, you can get smoother circles. Coincidentally, John Venn happened to study at my college and I was teaching someone about Venn diagrams yesterday. I was thinking about this subject just before reading this post …

I see group memebership as being a critical part of your online indentity, your online reputation and your online permissions. You are right to say that it’s tricky, not least because you have different TYPES (degrees?) of membership, from highly integrated, to a passing association.

I think tools like vennmaster are a good place to start, but I think down the road we are heading for tools that will both record and quantirfy group membership. If I find any, I’ll let you know!

]]> By: danbri http://danbri.org/words/2008/02/10/275/comment-page-1#comment-13588 danbri Sun, 10 Feb 2008 19:22:02 +0000 http://danbri.org/words/2008/02/10/275#comment-13588 More notes: I'm far from convinced anything automatic could work with real world groups/sets, unless their number and contents was heavily restricted, or broken out into several screens. For example, imagine a group "technologists" which I automatically compose from FOAF crawled from certain mailing lists, wikis, or other data. The structure of that group could be shown in venn, but in another context they could all be flattened together into a single group. Same with place, I could have "livesinbristol" "knowsbristol" and "isinbristolrightnow" from different sources. In some UI, simply "bristol" might do (since Venn diagrams get cluttered easily). But if I wanted to promote a tech gathering in Bristol this week, I'd probably want to usetechnologist+inbristolnow to get a list of people to hassle. More notes:

I’m far from convinced anything automatic could work with real world groups/sets, unless their number and contents was heavily restricted, or broken out into
several screens. For example, imagine a group “technologists” which I automatically
compose from FOAF crawled from certain mailing lists, wikis, or other
data. The structure of that group could be shown in venn, but in another context they could all be flattened together into a single
group. Same with place, I could have “livesinbristol” “knowsbristol”
and “isinbristolrightnow” from different sources. In some UI, simply
“bristol” might do (since Venn diagrams get cluttered easily). But if I wanted to promote a tech gathering in Bristol this week, I’d probably want to usetechnologist+inbristolnow to get a list of people to hassle.

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