Web 3.0 is the third internet generation, providing services for websites and web-based applications. Web 3 with AI (Artificial Intelligence) and machine learning, will offer a semantic and data-driven web. Ultimately, Web 3.0 aims to create more open, connected, and intelligent websites. 

Since Web 3.0 is yet to be implemented, we do not have a solid definition at the moment. It took around a decade to transition from Web 1.0 to Web 2.0, and it is expected to take at least that long to fully implement Web 3.0. 

However, some of the technologies that people believe will shape and define the third-generation internet services, are already under development. Smart appliances, which leverage IOT (Internet of Things) and wireless networks, show how Web 3.0 is already having an impact on technology. 

The Trend of Change:

As far as the trend of change goes, Web 1.0 was a static provider where users read and surfed websites, but there was almost no interaction between the sites and the users. Web 2.0, in comparison, provided social and interactive web-enabling connection for internet users. If this trend is something to go by, we can expect Web 3.0 to change the way that websites are created as well as the way in which people interact with websites. 

Properties of Web 3.0:

Web 3.0 is likely to be created with semantic web, Artificial Intelligence, and pervasive properties in mind. Using AI will allow providers to offer more relevant data at higher speeds, to the end user. The AI will be able to scour through a particular website and deliver the kind of content that it feels is most useful to a specific user. Social bookmarking could help deliver better results than Google currently does, since the websites that will show up will be those that have been up-voted by other users. 

Having said that, these results can be manipulated, and, once again, AI can help with separating fact from fiction. This means that Web 3.0 will be able to produce results similar to social media and social bookmarking, but without the negative feedback. 

Inculcating artificial intelligence will enable Web 3.0 to offer virtual assistants – a feature that is already transpiring today, either as an in-built element in devices or through various third party applications.   

Semantic web, meanwhile, will allow for the storage and categorization of data in a way that will enable systems to learn what a specific piece of data means. To put it differently, websites would be able to understand search terms and queries in much the same way that humans do, thereby helping these sites generate and deliver higher-quality content. Semantic web will help the system learn the meaning of a particular data, and AI will then obtain this information and utilize it. 

Pervasive or ubiquitous computing can be explained as the embedment of processing in everyday objects. This embedded processing will facilitate the intercommunication of the various devices present in a user’s environment. It is believed that ubiquitous computing, conceptually similar to IOT, will be another one of Web 3.0’s properties. 

The technologies responsible for integrating the above properties will include machine learning, natural language search, data mining, and micro-formats. Web 3.0 will also put greater focus on P2P (peer-to-peer) technologies like blockchain. Additional technologies, such as open-source software, data formats, and open APIs might also be used in the development of Web 3.0 applications. 

Another standout Web 3.0 trait will be with regard to security and privacy. Web 3.0 will employ more sophisticated authorized mechanisms through encryption and distributed ledger technologies. These mechanisms will help make user data and identity more secure than ever before. 

Web 3.0 vs Web 2.0:

Web 3 with AI in blocks
  • Web 2.0 revolves around interaction, while Web 3.0 will revolve around semantic learning and decentralization. 
  • Web 2.0 focuses primarily on community development, while Web 3.0 will focus on empowering the individual users. 
  • Web 2.0 uses technologies like CSS3, HTML5, JavaScript, and AJAX. Web 3.0, meanwhile, will use decentralized protocols, machine learning, and artificial intelligence. 
  • Web 2.0 offers mainly web applications, while Web 3.0 will offer smart applications based on machine learning and AI. 
  • In Web 2.0, the network owns the data; in Web 3.0, the entities will own the data and will determine who can access and use it. 
  • Web 2.0 allows users to contribute and even collaborate on the website content. In Web 3.0, however, these tasks will be handed over to AI technologies and the semantic web.