Web 3.0 design and functionality

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.

1. Specialized Subengines for Search
2. Social Networks replaced by People Search
3. Your Online Presence Searchable, Taggable and Ordered by Relevance through Voting and Algorithms
4. Increased Microblogging and more Powerful Widgets to allow you to place any of your feeds anywhere.
5. 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

1. Web 1.0 – the read-only web.
2. 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
3. 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.