What is Web 3.0?

The Internet has changed dramatically since its inception. From Internet Relay Chat (IRC) to modern social media, it has become a vital part of human interactions - and continues to evolve.

Web 3.0 is the next generation of Internet technology that heavily relies on the use of machine learning and artificial intelligence (AI). It aims to create more open, connected, and intelligent websites and web applications, which focus on using a machine-based understanding of data.

Through the use of AI and advanced machine learning techniques, Web 3.0 aims to provide more personalized and relevant information at a faster rate. This can be achieved through the use of smarter search algorithms and development in Big Data analytics.

Current websites typically have static information or user-driven content, such as forums and social media. While this allows information to be published to a broad group of people, it may not cater to a specific user’s need. A website should be able to tailor the information it provides to each individual user, similar to the dynamism of real-world human communication.

Computer scientist Tim Berners-Lee, the inventor of the World Wide Web, explained this idea of a Semantic Web in 1999:

I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links, and transactions between people and computers. A "Semantic Web," which makes this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy, and our daily lives will be handled by machines talking to machines.

In Web 3.0, an ocean of information will be available to websites and applications, and they will be able to understand and use that data in a way that is meaningful to the individual user.