Filed under: culture, folksonomies, openness, socialsoftware, technology, web2.0
Clay Shirky talks about what motivates people to participate in social media creation.
Clay Shirky talks about what motivates people to participate in social media creation.
I actually gasped while watching this. I know I’m a geek, but really, this is amazing.
Sea Dragon is a very cool data representation tool that allows for incredibly rich, dense data to be displayed on screen. Photosynth is a Microsoft Labs project. Pull these together with flickr and reveal the Semantic Web via images. Human semantic visual representations tied together… watch for the example of Notre Dame. Come on… be patient and watch the whole thing (minus the BMW ad at the end, unless you want to explain to Justin the subconcious meaning of water and powerful machines).
You know, when talking about the Semantic Web, I always have difficulty describing how relational, folksemantic data will change things for the average person. Maybe I’ll force-feed this video to everyone who doesn’t get it because of my inept attempts to explain it. Rah rah microsoft… maybe you aren’t the devil.
So we’ve got a Makeapath released. You can sequence web pages. I did one for travel 2.0, one on how to become a web 2.0 rock star, and one on the American Civil War. Go get an account and make some paths (those links may break if I get Justin to fix the URLs in Makeapath, so let me know if they don’t work).
The relationships between web pages are stored in our relationship/folksemantic web tool called scrumdidilyumpito.us. If you really want to see what these tools will do, install greasemonkey into Firefox, and then didilysquat (on the didily homepage) you can see all the relationships to any given web page. Then look at the Civil War path on makeapath and you’ll see other relationships I built into that path.
Riina is here at USU talking about her research at the European SchoolNet. EUN has a federated repository of K-12 learning resources. She’s looking at social information retrieval systems (recommender systems based on folksonomies). They will be adding user-generated metadata generated by actual teachers using the repository to see if social bookmarking, annotations, and ratings can help with discovery and reuse of learning resources.
Says Riina: Social bookmarking is a better indication of preference than rating because it’s useful for me right now. Ratings are usually done later. Social bookmarking allows us to interlink users, ratings don’t.
On the amount of attention metadata they collect from EUN: “We log the *&#! out of everything”
Dealing with a variety of languages is a challenge. They have 23 official languages to deal with. Teachers tag in a variety of languages. This led them to grapple with how much guidance you give users as they start tagging.
“Not all social tagging is folksonomy”
Perhaps there are some information seeking techniques that fit certain tasks.