when you mix different metadata you loss on quality. Yes you can merge them but then you need to square the number of dictionaries respect than languages. AArrgh
Interesting examples, terrible argument! No substantiated claims whatsoever! Shirky obviously thinks he is pretty smart and does not have to produce any real arguments based on evidence.
This piece is based on two talks I gave in the spring of 2005 -- one at the O'Reilly ETech conference in March, entitled "Ontology Is Overrated", and one at the IMCExpo in April entitled "Folksonomies & Tags: The rise of user-developed classification." Th
"They are built to be human-usable (...) are targeted primarily for storage/retrieval of personal information and serendipitous discovery of group information . (...) The development communities for each are abuzz with ideas for exploiting the structure"
This specification describes the FOAF language, defined as a dictionary of named properties and classes using W3C's RDF technology.
FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. FOAF integrates three kinds of network: social networks of human collaboration, friendship and association; representational networks that describe a simplified view of a cartoon universe in factual terms, and information networks that use Web-based linking to share independently published descriptions of this inter-connected world. FOAF does not compete with socially-oriented Web sites; rather it provides an approach in which different sites can tell different parts of the larger story, and by which users can retain some control over their information in a non-proprietary format.
S. Angeletou, M. Sabou, и E. Motta. Proceedings of the Asian Semantic Web Conference, том 5926 из Lecture Notes in Computer Science, стр. 276-290. Springer, (2009)
S. Angeletou, M. Sabou, и E. Motta. Proceedings of the Extended Semantic Web Conference, том 5554 из Lecture Notes in Computer Science, стр. 801-805. Springer, (2009)
M. Barla, и M. Bieliková. Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent System, том 5796 из Lecture Notes in Computer Science, стр. 309-320. Springer, (2009)
M. Barla, и M. Bielikov�. Computational Collective Intelligence. Semantic Web, Social Networks
and Multiagent System, том 5796 из Lecture Notes in Computer Science, стр. 309-320. Springer, (2009)