REST, AJAX, Silverlight, Widget Enabled, Taggable, Searchable everything…
Web 3.0 is the Semantic Web, where machine read content like human beings then
RSS will be its eyes. RSS technology is still in vast uses especially in the
online news portals. The entire business models have already being created
around aggregating meta-data. IGoogle, MyIndiaTims and Netvibes allow the users
to create their own personal homepage, drawing much of its content from RSS
feeds that users select.
- Specialized Subengines for Search
-
Social Networks replaced by People Search
- Your Online Presence Searchable, Taggable and Ordered by Relevance through
Voting and Algorithms
- Increased Microblogging and more Powerful Widgets to allow you to place any
of your feeds anywhere.
- Increased Integration between devices like cell phones and the web.
When talking about web 1.0 Web 2.0 and web 3.0, black soft expert suppose that
- Web 1.0 - the read-only web.
- Web 2.0 - the read-write web - all of these services that make it easy for us
to contribute content and interact with others. If you keep up the programming
analogy, the next phase would be
- Web 3.0 - the Read-Write-Execute Web.
The Web 3.0 application
design is about Cloud Computing as an enabler for innovation, Web-scale programming
and SaaS. Market barriers are reduced due to easy, service-oriented access to
scalable infrastructure, the possibility to test and deploy large-scale
projects with low entry costs, and eventually terminate projects that do not go
well without (financial and technological) problems associated with
down-scaling.
Web 3.0 application design will ultimately be seen as applications that are
pieced together. There are a number of characteristics: the applications are
relatively small, the data is in the cloud, the applications can run on any
device, PC or mobile phone, the applications are very fast and customizable,
and furthermore the applications are distributed.
Web 3.0 will use this
profile to tailor the browsing experience to each individual. That means that
if two different people each performed an Internet search with the same
keywords using the same service, they'd receive different results determined by
their individual profiles.