For years, computer technology has been advancing rapidly, and of course, this steep upward curve has also affected the World Wide Web and the Internet. For this reason, we've moved from the strictly informational Web 1.0 to the more interactive Web 2.0. And now we are ready to move to the third generation of the Web, which is called "Web 3.0".
What is Web 3.0 technology?
Web 3.0 is a next-generation web technology that focuses heavily on machine learning (ML) and artificial intelligence (AI). It consists of websites and online services that primarily use artificial intelligence to interpret the Semantic Web - a type of web that hosts machine-friendly data - and produce output to the user. Virtual assistants, smart speakers, and networked home devices are some examples of what Web 3.0 includes.
This new generation of the web enables a smarter, more efficient, more accurate and connected online experience for everyone. However, it will take some time before we fully transition to Web 3.0.
How does Web 3.0 technology differ from Web 2.0?
Web 3.0 and Web 2.0 differ from each other in the way data is created for users. While our current network relies on users' input and collaboration to determine the right way to operate, the next generation of the web will allow AI to work on large amounts of data to determine the best course of action.
Divided, some online services currently rely on user feedback to customize how they work, but in the coming years, they will allow AI to analyze the data collected and choose the best. This will allow websites to automatically detect and provide information that a user is likely to request.
What could be the main components of Web 3.0 technology?
Artificial Intelligence: To date, user decisions directly influence Internet behavior. However, this level of dependency also poses the risk of some users intentionally influencing the web to show incorrect results. AI will overcome this by separating simple user input from spurious user input using sophisticated techniques.
Ubiquitous Computing: The concept of computing on any device, from anywhere and in any format. This is related to the Internet of Things (IoT), a term referring to devices that communicate over a shared network. The notable presence of IoT devices, such as smart TVs and smart bulbs, constituted an early Web 3.0 infrastructure.
Semantic Web: As mentioned earlier, this is the name of the web where online data is machine-readable. This web data format will allow machine learning to thrive and thus make the AI job to the fullest. For example, computers will be able to understand the queries humans are looking for in the appropriate context. The Semantic Web is a prerequisite for the effective implementation of artificial intelligence.
To help these technologies run smoothly, Web 3.0 will include blockchain technology, data mining, natural language search, and so on.