Today's primitive prototypes show that a more intelligent Internet is still a long way off.
Many researchers and entrepreneurs are working on Internet-based knowledge-organizing technologies that stretch traditional definitions of the Web. Lately, some have been calling the technologies "Web 3.0." But really, they're closer to "Web 2.1."
Typically, the name Web 2.0 is used by computer programmers to refer to a combination of a) improved communication between people via social-networking technologies, b) improved communication between separate software applications--read "mashups"--via open Web standards for describing and accessing data, and c) improved Web interfaces that mimic the real-time responsiveness of desktop applications within a browser window.
To see how these ideas may evolve, and what may emerge after Web 2.0, one need only look to groups such as MIT's Computer Science and Artificial Intelligence Laboratory, the World Wide Web Consortium, Amazon.com, and Google. All of these organizations are working for a smarter Web, and some of their prototype implementations are available on the Web for anyone to try. Many of these projects emphasize leveraging the human intelligence already embedded in the Web in the form of data, metadata, and links between data nodes. Others aim to recruit live humans and apply their intelligence to tasks computers can't handle. But none are ready for prime time.
The first category of projects is related to the Semantic Web, a vision for a smarter Web laid out in the late 1990s by World Wide Web creator Tim Berners-Lee. The vision calls for enriching every piece of data on the Web with metadata conveying its meaning. In theory, this added context would help Web-based software applications use the data more appropriately.
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