The evolution of Web 1.0, Web 2.0 and Web 3.0 looking at differentiate these three evolutions, just until Web 3.0 and the next generation Web 4.0.Even as illustrated in the figure .1 below;

Some of the Examples include; Web 1.0 eBay, Amazon (1st generation)
Web 2.0 google, youtube, facebook, Myspace, Amazon (2nd Generation)
Web 3.0 bears that know your favourite dance
The evolution of web technologies has changed the characteristics of features and
Functionality of the e-research collaborative networks. As can be seen in fig .1,
The fist stage, Web 1.0 was about sharing information using search engines,
Enterprise portals, research websites online databases and file servers.
Collaboration amongst researchers however, was similar to the pre-internet era,
In that researchers collaborated primarily with their immediate circle of colleagues
And known acquaintances (in what we call "collaborations of convenience").
Internet based resources were used primarily as a medium of communication and storage.
In the next generation of the internet, commonly referred to Web 2.0, researchers
began sharing knowledge in personal online spaces such as wikis, blogs, community portals , and RSS feeds .These web 2.0 technologies enabled researchers to publish information in small, discrete notes in real time , in contrast to large , carefully -organised online databases of the fist generation of the internet .
In addition, Web 2.0 increased the researchers n range and reach of access to potential; collaborative partners.
The third generation of the internet , Web 3.0 was about representing meanings , connecting knowlewldge.In addit6ion to the content, Semitics technologies gives the internet space, i.e., it can represent meanings and knowledge as well.
Semantics webs encompass a board range of knowledge representation and reasoning capabilities including tags, dictionaries, taxonomies, pattern detection, ontology, and model based inferencing.
Web 4.0 builds upon all previous stages of the internet growth, from the concept of collaborative portals, semantic technologies and ontologies, to link data.
These evolution of web focuses on best practices for publishing and developing data on the web , with the emphasis data interconnections, interrelationships and context useful to booth humans and machine agents.
REFERENCE
1. 2010, M, Anandarajan,and A Anandarajan, E-Research Collaboration, Theory , Techchnigues and Challenges, Springer Heidelberg, USA
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