Web 3.0 is the third generation of Internet services for websites and applications. The goal is to leverage machine understanding of data, to deliver a data-driven semantic web, with the ultimate goal of creating smarter, connected and open sites.
Since Web 3.0 is not yet implemented, its definition is not really established. The transition from the original Web, Web 1.0, and Web 2.0 spanned more than ten years. For Web 3.0, the full implementation and transformation of the Web is expected to take as long or even longer.
However, the technologies that some believe should constitute and ultimately define Web 3.0 are already in development. With the arrival of smart appliances, the use of wireless networks and the Internet of Things ( IoT ) are two examples of the impact of Web 3.0 on technology.
If we trace the evolution from the Web 1.0 model, a simple distributor of static information by which Internet users read Web sites without real interaction, to Web 2.0, a social and interactive network allowing collaboration between users, we can assume that the Web 3.0 will change the way websites are created and interacted with.
The development of Web 3.0 should be based on artificial intelligence ( AI ), the Semantic Web and the ubiquity of computing. The use of AI is driven by the desire to deliver more relevant data to end users, faster. A website with AI should filter and deliver data that it believes meets the expectations of a specific user. The results found via bookmark sharing instead of the search engine can be better than those of Google, since they offer websites that are popular with Internet users.
Note, however, that these results may have been manipulated. By distinguishing legitimate results from falsified results, AI could produce results comparable to those of bookmark sharing and social media , but without interference.
A Web equipped with artificial intelligence paves the way for virtual assistants, a phenomenon that we already see emerging as a module integrated into a device or in third-party applications.
Behind the Semantic Web looms the categorization and storage of information, making it possible to teach a system the meaning of such or such data. In other words, a website should be able to interpret, like a human, the words entered in searches, so as to create and share better content. This system will also use AI; the Semantic Web will teach machines what the data means and the AI will draw from it the information it will use.
Ubiquitous computing refers to the processing capabilities embedded in everyday objects, which enable the intercommunication of devices in a user’s environment. This omnipresence is part of the properties attributed to Web 3.0. The concept is close to that of the Internet of Things.
Technologies that will shape these properties include microformats, data mining , natural language research, and machine learning (ML). Web 3.0 will also have a more pronounced P2P (peer to peer) technological orientation, such as blockchain technologies . Other technologies, including open APIs and data formats, and open source software , will also be used to develop Web 3.0 applications.
The term Web 2.0 covers websites and applications that promote content created by Internet users. Many websites use it today to promote user interactivity and collaboration.
Web 2.0 also aimed to provide everyone with communication channels and network connectivity . Web 3.0 differs by emphasizing the use of technologies such as statistical learning (ML) and AI, to provide each Internet user with personalized content instead of reassembling content provided by others. end users.
In short, Web 2.0 allows users to contribute and even collaborate on site content, whereas Web 3.0 will most likely entrust these tasks to AI and Semantic Web technologies.
The main characteristics of Web 3.0 are:
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