V Geronimenko, Chaomei Chen (Eds): Visualizing the Semantic Web
Mixture of different articles with some background, some technological, some application articles.
Few things I found interesting to keep in mind:
- Using Google to test for semantic meaning (by counting hits of statements basically)
- Use of P2P technologies for storing semantic data (in the example document & class centric though only)
- Aduna, Groxis
- Visualizing class links (so where lots of nodes lead to the same node) in a graying out fashion (strong at the class, getting greyed out to the nodes), or in a 3d setting placed out of plane
- m-limited force model: to avoid in a spring based placement algorithm the infinite drifting apart, make a cut-off in the repulsive force
- In the article "Semantic Association Networks" by Katy Börner: the idea that in the future there will be a knowledge cloud, especially including the scientific world. This will make articles and papers unnecessary, because scientific work would mean to add 'knowledge nuggets' or 'association links'. "A scholar's reputation would depend on the number of nodes and/or links she or he contributed and their usefulness to humankind." New nodes could be used to automatically identify redundant information, confirm existing facts, confirm novelty, and point out conflicts. - Interesting picture!